How to Create Histogram Using NumPy
Learn how to Generate a histogram with NumPy
Posts by Category
- Statistics 69
- Bioinformatics 67
- Python 51
- R 41
- Pandas 11
- Machine learning 10
- ML/AI 9
- Machine Learning 6
- Linear model 4
- Molecular Biology 4
- Linux 3
- High-throughput sequence analysis 3
- Dimensionality reduction 3
- Python String 2
- Genomic visualization 2
- Biostatistics 1
- Calculator 1
- pandas 1
- seaborn 1
- Genotyping 1
- Variant Annotation 1
- Variant analysis 1
- Multivariate analysis 1
- Clustering 1
- Genomics 1
- Biotechnology 1
- Bash 1
Statistics
How to Calculate Antilog of Values in R
Learn how to calculate antilogarithms in R common and natural logarithms with practical examples
How to Calculate Antilog of Values in Python
Learn how to calculate antilogarithms in Python common and natural logarithms with practical examples
Quantile vs Percentile in Python
Learn the key differences between quantiles and percentiles in Python
Difference Between Quantile, Quartile, and Percentile
Learn the distinctions between quantiles, quartiles, and percentiles in statistics. Understand how these metrics divide and analyze data, providing insights ...
Kaplan-Meier Survival Analysis in R
Learn how to visualize and analyze survival times, compare groups, and assess the impact of predictor variables using Kaplan-Meier curves in R
Calculate Quartiles in R
Learn how to calculate and visualize quartiles in R
random.uniform(): R runif() Equivalent Function in Python
Learn how to use random.uniform(): Python counterpart to R’s runif() function
Calculate Quartiles in Python
Learn how to calculate quartiles in Python using NumPy and pandas
Two-sample Kolmogorov-Smirnov test in R
Comprehensive guide to the two-sample Kolmogorov-Smirnov test in R
Q-Q plot in Python
Learn how to create a Q-Q plot in Python to assess the normal distribution of the data
One-sample Kolmogorov-Smirnov test in R
Comprehensive guide to the One-sample Kolmogorov-Smirnov test in R
How to Use runif in R (Practical Examples)
Learn how to generate random numbers from uniform distributions in R with the runif() function
Binary Logistic Regression in R
Learn how to perform binary logistic regression in R and evaluate the model performance
Shapiro–Wilk Test in R
Learn to perform the Shapiro-Wilk test for normality in R with step-by-step guidance and make sure the data meets the normality assumption for reliable stati...
Q-Q plot in R
Learn how to create a Q-Q plot in R to assess the normal distribution of the data
How to Perform Mann-Whitney U test in R
Learn how to conduct the Mann-Whitney U test in R for non-parametric group comparison
Two-Way ANOVA in R: How to Analyze and Interpret Results
This article explains how to perform two-way ANOVA in R
How to Perform One-Way ANOVA in R (With Example Dataset)
This article explains how to perform one-way ANOVA in R
How to Calculate Descriptive Statistics in Python with Pandas DataFrame
Calculate descriptive statistics using describe() function from pandas DataFrame
How to Use describe() Function in R
learn how to use describe() function in R with several examples
How to Compute Trimmed Mean in R?
Learn how to calculate trimmed mean in R with several examples
summary() Function in R: How to Use (With 6 Examples)?
How to use summary() function in R to get summarise the fitted model results
How to Get R-Squared and Adjusted R-Squared From lm in R
Extract R-Squared and adjusted R-Squared from lm summary statistics after fitting regression model
How to Get F Statistics and p Value From lm in R
Extract F Statistics and p value from lm summary statistics after fitting regression model
How to Calculate VIF in R
This article describes how to calculate the Variance Inflation Factor (VIF) to detect multicollinearity in R
Covariate in Statistics: Definition and Examples
Explanation of covariate in statistics, covariate examples, and how to use covariate in statistical analysis
Survival analysis (Kaplan–Meier, Cox proportional hazards, and Log-rank test methods)
Detailed introduction of survival analysis and its calculations in R
Multiple hypothesis testing problem in Bioinformatics
Multiple hypothesis testing and corrections, type I and II errors, false discovery rate, Bonferroni correction, and Benjamini/Hochberg correction
Statistical hypothesis testing, types of errors, and interpretation of p values
Learn how to propose null and Alternative hypotheses, perform the statistical analysis, and interpret the results
Find probabilities using discrete and continuous probability distributions
Learn how to use probability distributions, probability mass function (PMF), cumulative distribution function (CDF), and probability density function (PDF)
Logistic regression in Python (feature selection, model fitting, and prediction)
Logistic regression for prediction of breast cancer, assumptions, feature selection, model fitting, model accuracy, and interpretation
Multicollinearity and variance inflation factor (VIF) in the regression model (with Python code)
Multicollinearity refers to the significant correlation among the independent variables in the regression model. Variance Inflation Factor (VIF) helps to dia...
Multiple linear regression (MLR)
Multiple regression analysis using statsmodels. Learn how to define regression model, assumptions, metrics evaluation, and interpretation
Calculating residuals in regression analysis [Manually and with codes]
Learn to calculate residuals in regression analysis manually and with Python and R codes
Calculate harmonic mean in R (with examples)
Learn what is harmonic mean and how to calculate it in R
Calculate harmonic mean in Python (with examples)
Learn what is harmonic mean and how to calculate it in Python
Generate dataset with normal distribution in Python
Learn how to generate a random dataset with normal distribution using NumPy
How to perform Chi-squared (χ2) test for independence in Python (with example)
Learn when to use and how to calculate Chi-squared test for independence
Analyze one and two-sample Z-test in R
Learn when to use Z-test, types of Z-test, assumptions, hypothesis, and formula for each type of test, and Z-test calculation in R
Mastering Z-test in Python: A Step-by-Step Guide (With Examples)
Learn how to perform one sample, two samples, and paired Z-test in Python. This article also covers when to use Z-test, types of Z-test, assumptions, hypothe...
How to perform one and two-sample t-test in Python
Learn when to use t-test, types of t-test, assumptions, hypothesis, and formula for each type of test, and t-test calculation in Python
One and Two-sample Z-Test for proportions (with R code)
Learn to perform sample proportions Z-Test in R
How to Perform Mann-Whitney U test in Python
Learn when to use Mann-Whitney U test, assumptions, hypothesis, and formula, and test calculation in Python
Calculator for Mann-Whitney U test (Wilcoxon rank sum test)
Calculate Mann-Whitney U test online calculator
How to Conduct Durbin-Watson Test in R
Find out how to detect autocorrelation in your data using the Durbin-Watson test in R. Get a step-by-step guide on how to run this test.
Perform Durbin-Watson (DW) test in Python
Learn to perform Durbin-Watson test (a test for autocorrelation) in Python
Perform t-test from scratch in Python
Calculate three types of t-test from scratch
How to Perform Fisher’s Exact Test in R
Learn Conduct Fisher exact test in R for categorical data associations
Fisher’s exact test of independence in Python [with example]
A step-by-step article for performing Fisher’s exact test in Python
Fisher’s exact test calculator (with formula)
Online calculator for Fisher’s exact test of independence for 2 x 2 contingency table
How to calculate correlation between two variables in R
This articles explains Pearson’s, Spearman’s rho, and Kendall’s Tau correlation methods and their calculation in R
Correlation analysis in Python
Correlation analysis using Python code
Repeated Measures ANOVA using Python and R (with examples)
Repeated Measure ANOVA in Python and R. This article explains repeated Measure ANOVA model, multiple pairwise comparisons, and results interpretation
Mixed ANOVA using Python and R (with examples)
Learn to perform mixed ANOVA, check assumptions, and post-hoc tests for significant interactions and main effects
How to Perform ANOVA in Python
Learn how to conduct one-way and two-way ANOVA tests, interpret results, and make informed statistical decisions using Python
How to Perform MANOVA in R
Learn how to conduct Multivariate Analysis of Variance (MANOVA) in R with step-by-step guidance
Friedman test using R (with examples and code)
A step-by-step article for performing Friedman test in R
Friedman test using Python (with examples and code)
A step-by-step article for performing Friedman test in Python
ANCOVA using R and Python (with examples and code)
A step-by-step article for performing ANCOVA in R and Python. This article describes the background of ANCOVA, assumptions, hypotheses, and codes for perform...
Understanding random sampling with and without replacement (with python code)
Learn how to perform random sampling with and without replacement and example in Python
Variable types
Variable types Flowchart for types of variables used for collecting and analyzing the data
MANOVA using Python (using statsmodels and sklearn)
Code for performing MANOVA in Python
Manipulated, response, and control variables [definition and research example]
Learn the differences between manipulated, response, and control variable. Manipulated (also known as independent) variable can be changed in the experiment ...
How to Calculate p Value by Hand
Learn how to calculate p-values by hand (using t test example) to gain a deeper understanding of statistical hypothesis testing.
8 methods to find outliers in R (with examples)
Learn how to detect outlier in the dataset using visual and statistical methods
Brown-Forsythe test for equality of variances in R
Learn how to perform Brown-Forsythe test for equality of variances in R
Brown-Forsythe test for equality of means in R
Learn how to perform Brown-Forsythe test for equality of means in R
ANCOVA code in Python
This article explains how to perform the one-way ANCOVA in Python. You can refer to this article to know more about ANCOVA, when to use ANCOVA, assumptions, ...
Bioinformatics
Calculate Coverage From BAM File
Learn how to use samtools depth and coverage commands to calculate the coverage from BAM file
Get Non-overlapping Portion Between Two Regions in bedtools
Learn how to use bedtools subtract to get non-overlapping portion between two regions in BED files
What is Log2 Fold Change in Bioinformatics
Learn what is log2 fold change, how to calculate log2 fold change, and why log2 transformation used for measuring the fold change between samples in bioinfo...
Samtools: Extract Reads from Specific Genomic Regions
Learn how to extract reads from BAM files that fall within a specified region with samtools
Samtools: Extract Mapped and Unmapped Paired-end Reads
Learn how to filter mapped and unmapped paired-end reads with Samtools
Samtools: How to Filter Mapped and Unmapped Reads
Learn how to filter mapped and unmapped sequence reads with Samtools
What is Singleton in Bioinformatics?
This tutorial explains what is singleton in bioinformatics
ComplexHeatmap: Create Complex Heatmaps in R
Learn how to create customized heatmaps using ComplexHeatmap in R
How to Use bedtools merge
Learn bedtools merge for combining overlapping and adjacent intervals in the BED file
How to Use bedtools intersect
Learn bedtools intersect for finding overlapping and non-overlapping intervals between BED files in various ways
Calculate All Possible Combinations of DNA bases
Calculate all DNA base combinations with Python code
Steps in PCR
Learn the step-by-step process of Polymerase Chain Reaction (PCR)
Methods to Calculate Melting Temperature (Tm) for Primers
Learn how to calculate primer melting temperature (Tm) for precise DNA amplification and molecular biology experiments
Calculate Melting Temperature (Tm) in R
Three methods to calculate melting temperature (Tm) in R
Calculate Melting Temperature (Tm) in Python
Three methods to calculate melting temperature (Tm) in Python
Understanding E-value, bit score, and p value in BLAST
Explore the significance of E-value, bit score, and p-value in BLAST alignments. Gain insights into how these parameters assess homology between biological s...
How to Use seqtk subseq to Extract Sequences from FASTA/FASTQ Files
Learn seqtk subseq function for extracting specific sequences and subsequences from a FASTA/FASTQ files
Convert Multi-line Fasta into Single-line Fasta
Convert Multi-line Fasta into Single-line Fasta using Python
How to Extract Sequences from FASTA in Python
Learn extract_seq() from bioinfokit function for extracting specific sequences and subsequences from a FASTA file
blastp: Command-line Utility for Protein Sequence Search
Perform protein sequence similarity searches with the blastp command-line tool
blastn vs blastp: Which One You Should Use?
What is difference between blastn and blastp
blastn: Command-line Utility for Nucleotide Sequence Search
Perform Nucleotide sequence similarity searches with the blastn command-line tool
How to Use blastdbcmd to Extract Sequences from BLAST Database
blastdbcmd: A command-line tool for retrieving all or specific sequences from formatted BLAST databases
How to Reverse Complement of DNA Sequence in Python
Get the reverse complement of a DNA sequence in a Python
How to Reverse Complement of DNA Sequence in Bash
Get the reverse complement of a DNA sequence in a one-liner Bash command using awk, tr, and rev
Create a Local BLAST Database From FASTA File
Creating a local BLAST database from FASTA file for faster, customized sequence similarity searches
What is Nextflow and How to Use it?
Learn what is Nextflow and how to use it for running bioinformatics pipeline
Convert FASTQ to FASTA Format
List of Bioinformatics tools to convert FASTQ file into FASTA format
Canu: Genome Assembly for PacBio and Nanopore Long-Reads (Detailed Guide)
Assemble PacBio and Nanopore long-reads using the Canu
IUPAC Nucleotide Codes
IUPAC codes for representing nucleotide degeneracy
How to Use bedtools getfasta to Extract DNA Sequences (With Example)
This article describes how to use the bedtools getfasta command to extract the sequence from the FASTA file based on the genomic coordinates given in the B...
How to Determine Strandedness in RNA-seq Data (With Example)
Determine strandedness in RNA-seq using RSeQC quality control tool
What is Strandedness in RNA-seq?
RNA-seq strandedness and difference between stranded and non-stranded RNA-seq
HISAT2: Fast Aligner for NGS Data (complete Tutorial)
This tutorial explains how to use HISAT2 for aligning NGS reads to genome
Two-pass alignment of RNA-seq reads with STAR
Complete tutorial on how to use STAR aligner in two-pass mode for mapping RNA-seq reads to genome
Mastering RNA-seq Read Alignment With STAR
Learn how to align RNA-seq reads with STAR for accurate gene expression analysis in bioinformatics
Linux for Bioinformatics (for beginners)
Learn Linux command lines for Bioinformatics analysis
RNA-seq Data Analysis with edgeR
Perform differential gene expression analysis of RNA-seq data using EdgeR
RNA-seq Data Analysis with DESeq2
Perform differential gene expression analysis of RNA-seq data using DESeq2
Create a gene counts matrix from featureCounts
Generate a gene counts matrix when featureCounts run separately on individual aligned files
Parsing and analyzing BAM files
SAMtools for manipulation of BAM files
How to Use E-utilities for Downloading Sequences from NCBI
NCBI E-utilities for downloading the single or large number of sequences from the NCBI sequence database
A guide to understanding the variant information fields in variant call format (VCF) file
VCF fields information
Gene expression units explained: RPM, RPKM, FPKM, TPM, DESeq, TMM, SCnorm, GeTMM, and ComBat-Seq
bulk and single-cell RNA-seq expression units, count normalization, formula, examples in Python, gene quantification, batch effects, and between-sample and w...
bedtools for genomics analysis
bedtools for comparative analysis of genomic datasets
How to use NCBI SRA Toolkit effectively?
Downloading FASTQ files from NCBI SRA database
UMAP dimension reduction algorithm in Python (with example)
How to reduce and visualize high-dimensional data using UMAP in Python
t-SNE in Python for visualization of high-dimensional data
t-SNE using sklearn package. This article explains the basics of t-SNE, differences between t-SNE and PCA, example using scRNA-seq data, and results interpre...
Sequencing coverage and breadth of coverage
High-through sequencing coverage calculation and coverage recommendations
pheatmap: create annotated heatmaps in R (detailed guide)
How to create and customize heatmap using pheatmap package in R
Interactive Heatmap in Python (using hvPlot and Bokeh)
Visualize interactive heatmap using hvPlot and Bokeh
Heatmap in Python
Heatmap and hierarchical clustering visualization in Python
Principal component analysis (PCA) and visualization using Python (Detailed guide with example)
PCA using sklearn package. This article explains the basics of PCA, sample size requirement, data standardization, and interpretation of the PCA results
Volcano plot in Python
Volcano plot using bioinfokit package. This article explains the visualization of volcano plots for gene expression data
Multiple hypothesis testing problem in Bioinformatics
Multiple hypothesis testing and corrections, type I and II errors, false discovery rate, Bonferroni correction, and Benjamini/Hochberg correction
Bioinformatics file readers and processing (FASTA, FASTQ, and VCF)
Biological data handling and processing using Python codes
Manhattan plot in Python
Introduction, analysis, and visualization of Manhattan plot in Python
MA plot to visualize gene expression data using Python
MA plot basics, analysis, and visualization
Split the sequence into smaller subsequences
Split the nucleotide sequence into smaller sequences with defined size
FASTQ Sequence Quality Format
FASTQ sequence example, quality formats, and quality format detection
Convert GFF3 to GTF file format
Introduction to GFF3 and GTF files, and their interconversions using Python code
Annotation of genetic variants (SNPs/InDels) in VCF file
Genetic variant annotation for variant location in the genome, associated genes, and their gene functions
Venn diagrams in Python and R
Create two and three-way Venn diagrams in Python and R
Reverse Complement of DNA Sequences
Reverse complementary of DNA sequences
Concatenate and split VCF files
What is VCF file? VCF stands for variant call format It is a text file (file extension as .vcf) storing meta-information, marker and genotype data of ge...
Correlation analysis in Python
Correlation analysis using Python code
Advanced Bioinformatics Workshop
Title: Advanced Bioinformatics Workshop
Python
How to Create Histogram Using NumPy
Learn how to Generate a histogram with NumPy
How to Calculate Antilog of Values in Python
Learn how to calculate antilogarithms in Python common and natural logarithms with practical examples
Quantile vs Percentile in Python
Learn the key differences between quantiles and percentiles in Python
random.uniform(): R runif() Equivalent Function in Python
Learn how to use random.uniform(): Python counterpart to R’s runif() function
Calculate Quartiles in Python
Learn how to calculate quartiles in Python using NumPy and pandas
Calculate AUC in Python (With Example)
Learn how to compute AUC (Area Under the Curve) in Python for evaluating classification model performance
How to Plot ROC Curve in Python
Learn how to plot ROC curve in Python for model evaluation
Q-Q plot in Python
Learn how to create a Q-Q plot in Python to assess the normal distribution of the data
How to Calculate Descriptive Statistics in Python with Pandas DataFrame
Calculate descriptive statistics using describe() function from pandas DataFrame
K-means Clustering in Python: Detailed Guide With Example
This article how to perform and visualize the K-means Clustering in Python
Query pandas DataFrame to select rows based on value and condition matching
Learn how to query pandas DataFrame to select rows based on exact match, partial match, and conditional match in pandas DataFrame
Import small and large data using pandas (CSV, Excel, Tab, JSON, SQL, and Parquet files)
learn how to import CSV, Excel, Tab, JSON, and SQL files in pandas for data analysis and visualization
Checking and handling missing values (NaN) in pandas
Analyse and handle null or missing values in pandas series and dataframe
Left, right, outer and inner joins on pandas dataframes
learn to join pandas dataframes in multiple ways
Violin plot in Python (using seaborn and matplotlib)
Learn how to create violin plots in Python (using seaborn and matplotlib package)
How to Split Data into Train and Test Sets in Python with sklearn
Learn how to split train and test datasets in Python using train_test_split() function from sklearn
Create a scatter plot using pandas DataFrame (pandas.DataFrame.plot.scatter)
This article explains how to create scatter plots using pandas DataFrame
Create a line plot using pandas DataFrame (pandas.DataFrame.plot.line)
Create single and multiple line plots from pandas DataFrame. Learn how to use pandas plotting functions for creating grouped line plots.
Support Vector Machine (SVM) in Python
Implementation of Support vector machine (SVM) in Python for prediction of heart disease. Learn SVM basics, model fitting, model accuracy, and interpretation
Create scatter plots using Python (matplotlib pyplot.scatter)
Learn how to create 2D and 3D scatter plots from numerical arrays and pandas DataFrame using Python matplotlib package
Linear regression in Python (using sklearn and statsmodels)
This article explains background of the linear regression and how to perform a linear regression with a Python code.
Calculating residuals in regression analysis [Manually and with codes]
Learn to calculate residuals in regression analysis manually and with Python and R codes
DBSCAN clustering algorithm in Python (with example dataset)
Learn the basics of DBSCAN and implement DBSCAN clustering in Python
How to subset from pandas DataFrame?
This article explains how to select rows, columns, and a subset of pandas DataFrame using various indexing operations and pandas functions
Data handling and manipulation with Pandas
What is pandas?
How to replace column values in pandas DataFrame based on column conditions
Learn four methods to replace the column values in pandas DataFrame based on column conditions
How to unpivot pandas DataFrame (wide to long format)
Learn how to convert pandas DataFrame from wide to long format using melt() function
Pandas groupby function to group column values into list
Group dataframe rows into a list based on a common element from one column
How to split strings into a list of integers in Python?
Learn how to split the strings as an int list in Python
How to multiply two or multiple columns in a pandas DataFrame
Learn how to multiply single or multiple columns in a pandas DataFrame
Calculate harmonic mean in Python (with examples)
Learn what is harmonic mean and how to calculate it in Python
Generate dataset with normal distribution in Python
Learn how to generate a random dataset with normal distribution using NumPy
How to identify and drop duplicates based on single and multiple columns in a pandas DataFrame
Learn how to identify and drop duplicates in a pandas DataFrame
Sort dictionary by key and value in Python
Learn how to create and sort Python dictionary by key and value
Python enumerate to simplify the looping
Python enumerate built-in function allows iterating over list and dictionary and helps to access its items along with index values
Six ways to get keys from the dictionary in Python
Learn how to obtain keys from dictionary in Python
Python count() function for strings
Learn how to count strings in Python
How to add rows to the Pandas DataFrame
Learn various ways to add rows to the Pandas DataFrame
Python tuples
Python tuples initialization and operations
8 different ways to get column names from pandas DataFrame
Learn different methods to get column names from pandas DataFrame
Simple ways to rename column names in pandas DataFrame
Learn different methods to rename single and multiple column names in pandas DataFrame
3 ways to get the last characters of a string in Python
Learn how to get last any number of characters of the strings in Python
Query pandas DataFrame to split the values in column
Learn how to split the value in pandas DataFrame column and create new columns
3 easy ways to remove the last characters of a string in Python
Learn how to get remove any number of characters of the strings in Python
Mastering Z-test in Python: A Step-by-Step Guide (With Examples)
Learn how to perform one sample, two samples, and paired Z-test in Python. This article also covers when to use Z-test, types of Z-test, assumptions, hypothe...
How to perform one and two-sample t-test in Python
Learn when to use t-test, types of t-test, assumptions, hypothesis, and formula for each type of test, and t-test calculation in Python
How to Perform ANOVA in Python
Learn how to conduct one-way and two-way ANOVA tests, interpret results, and make informed statistical decisions using Python
pip and conda to install and upgrade Python packages
Learn how to install, upgrade, and check versions of Python packages
What is Stratified sampling and why should you use it (with example in Python)?
Learn how to perform stratified sampling in Python
MANOVA using Python (using statsmodels and sklearn)
Code for performing MANOVA in Python
ANCOVA code in Python
This article explains how to perform the one-way ANCOVA in Python. You can refer to this article to know more about ANCOVA, when to use ANCOVA, assumptions, ...
R
How to Calculate Antilog of Values in R
Learn how to calculate antilogarithms in R common and natural logarithms with practical examples
Kaplan-Meier Survival Analysis in R
Learn how to visualize and analyze survival times, compare groups, and assess the impact of predictor variables using Kaplan-Meier curves in R
ComplexHeatmap: Create Complex Heatmaps in R
Learn how to create customized heatmaps using ComplexHeatmap in R
Calculate Quartiles in R
Learn how to calculate and visualize quartiles in R
Calculate AUC in R: Step-by-Step Guide With Example
Learn how to compute AUC (Area Under the Curve) in R for evaluating classification model performance
Two-sample Kolmogorov-Smirnov test in R
Comprehensive guide to the two-sample Kolmogorov-Smirnov test in R
How to Plot ROC Curve in R
Learn how to plot ROC curve in R for model evaluation
One-sample Kolmogorov-Smirnov test in R
Comprehensive guide to the One-sample Kolmogorov-Smirnov test in R
How to Use runif in R (Practical Examples)
Learn how to generate random numbers from uniform distributions in R with the runif() function
Binary Logistic Regression in R
Learn how to perform binary logistic regression in R and evaluate the model performance
Shapiro–Wilk Test in R
Learn to perform the Shapiro-Wilk test for normality in R with step-by-step guidance and make sure the data meets the normality assumption for reliable stati...
Q-Q plot in R
Learn how to create a Q-Q plot in R to assess the normal distribution of the data
How to Perform Mann-Whitney U test in R
Learn how to conduct the Mann-Whitney U test in R for non-parametric group comparison
Two-Way ANOVA in R: How to Analyze and Interpret Results
This article explains how to perform two-way ANOVA in R
How to Perform One-Way ANOVA in R (With Example Dataset)
This article explains how to perform one-way ANOVA in R
How to Use describe() Function in R
learn how to use describe() function in R with several examples
How to Compute Trimmed Mean in R?
Learn how to calculate trimmed mean in R with several examples
summary() Function in R: How to Use (With 6 Examples)?
How to use summary() function in R to get summarise the fitted model results
How to Get R-Squared and Adjusted R-Squared From lm in R
Extract R-Squared and adjusted R-Squared from lm summary statistics after fitting regression model
How to Get F Statistics and p Value From lm in R
Extract F Statistics and p value from lm summary statistics after fitting regression model
How to Calculate VIF in R
This article describes how to calculate the Variance Inflation Factor (VIF) to detect multicollinearity in R
pheatmap: create annotated heatmaps in R (detailed guide)
How to create and customize heatmap using pheatmap package in R
3 efficient ways to read (import) a CSV file into R
Learn how to read (import) a CSV in R
Solving the Most Common R Error: ‘Duplicate row.names are not allowed’
Solution for how to read a dataset with duplicated row names using read.csv() function
Calculating residuals in regression analysis [Manually and with codes]
Learn to calculate residuals in regression analysis manually and with Python and R codes
Calculate harmonic mean in R (with examples)
Learn what is harmonic mean and how to calculate it in R
How to use %in% and %notin% operators in R (with examples)
Learn how to use %in% operator in R
How to use $ operator in Data Frame and list in R (with six examples)
Learn how to use $ operators in R to work with Data Frame and list
Subset Data Frames in R
Learn to subset or filter Data Frames in R
How to reorder Data Frame columns by column names and index in R (with examples)
Learn to reorder columns by name and index in R Data Frame
Analyze one and two-sample Z-test in R
Learn when to use Z-test, types of Z-test, assumptions, hypothesis, and formula for each type of test, and Z-test calculation in R
How to Conduct Durbin-Watson Test in R
Find out how to detect autocorrelation in your data using the Durbin-Watson test in R. Get a step-by-step guide on how to run this test.
How to Perform Fisher’s Exact Test in R
Learn Conduct Fisher exact test in R for categorical data associations
Fisher’s exact test of independence in Python [with example]
A step-by-step article for performing Fisher’s exact test in Python
How to calculate correlation between two variables in R
This articles explains Pearson’s, Spearman’s rho, and Kendall’s Tau correlation methods and their calculation in R
Kruskal-Wallis test in R [with example and code]
Kruskal-Wallis test is a non-parametric test for estimating the differences between multiple groups. Learn the basics of Kruskal-Wallis test, its underlying ...
How to Perform MANOVA in R
Learn how to conduct Multivariate Analysis of Variance (MANOVA) in R with step-by-step guidance
Friedman test using R (with examples and code)
A step-by-step article for performing Friedman test in R
Friedman test using Python (with examples and code)
A step-by-step article for performing Friedman test in Python
ANCOVA using R and Python (with examples and code)
A step-by-step article for performing ANCOVA in R and Python. This article describes the background of ANCOVA, assumptions, hypotheses, and codes for perform...
8 methods to find outliers in R (with examples)
Learn how to detect outlier in the dataset using visual and statistical methods
Pandas
Query pandas DataFrame to select rows based on value and condition matching
Learn how to query pandas DataFrame to select rows based on exact match, partial match, and conditional match in pandas DataFrame
Import small and large data using pandas (CSV, Excel, Tab, JSON, SQL, and Parquet files)
learn how to import CSV, Excel, Tab, JSON, and SQL files in pandas for data analysis and visualization
Checking and handling missing values (NaN) in pandas
Analyse and handle null or missing values in pandas series and dataframe
Left, right, outer and inner joins on pandas dataframes
learn to join pandas dataframes in multiple ways
Create a scatter plot using pandas DataFrame (pandas.DataFrame.plot.scatter)
This article explains how to create scatter plots using pandas DataFrame
Create a line plot using pandas DataFrame (pandas.DataFrame.plot.line)
Create single and multiple line plots from pandas DataFrame. Learn how to use pandas plotting functions for creating grouped line plots.
How to subset from pandas DataFrame?
This article explains how to select rows, columns, and a subset of pandas DataFrame using various indexing operations and pandas functions
How to replace column values in pandas DataFrame based on column conditions
Learn four methods to replace the column values in pandas DataFrame based on column conditions
How to unpivot pandas DataFrame (wide to long format)
Learn how to convert pandas DataFrame from wide to long format using melt() function
Simple ways to rename column names in pandas DataFrame
Learn different methods to rename single and multiple column names in pandas DataFrame
Query pandas DataFrame to split the values in column
Learn how to split the value in pandas DataFrame column and create new columns
Machine learning
Principal component analysis (PCA) and visualization using Python (Detailed guide with example)
PCA using sklearn package. This article explains the basics of PCA, sample size requirement, data standardization, and interpretation of the PCA results
Decision tree algorithm for classifications (with illustrative example)
Detailed introduction to decision tree learning algorithms and how to construct a decision tree
Support Vector Machine (SVM) in Python
Implementation of Support vector machine (SVM) in Python for prediction of heart disease. Learn SVM basics, model fitting, model accuracy, and interpretation
Create scatter plots using Python (matplotlib pyplot.scatter)
Learn how to create 2D and 3D scatter plots from numerical arrays and pandas DataFrame using Python matplotlib package
Multicollinearity and variance inflation factor (VIF) in the regression model (with Python code)
Multicollinearity refers to the significant correlation among the independent variables in the regression model. Variance Inflation Factor (VIF) helps to dia...
Multiple linear regression (MLR)
Multiple regression analysis using statsmodels. Learn how to define regression model, assumptions, metrics evaluation, and interpretation
Linear regression in Python (using sklearn and statsmodels)
This article explains background of the linear regression and how to perform a linear regression with a Python code.
DBSCAN clustering algorithm in Python (with example dataset)
Learn the basics of DBSCAN and implement DBSCAN clustering in Python
Variable types
Variable types Flowchart for types of variables used for collecting and analyzing the data
8 methods to find outliers in R (with examples)
Learn how to detect outlier in the dataset using visual and statistical methods
ML/AI
Calculate AUC in Python (With Example)
Learn how to compute AUC (Area Under the Curve) in Python for evaluating classification model performance
Calculate AUC in R: Step-by-Step Guide With Example
Learn how to compute AUC (Area Under the Curve) in R for evaluating classification model performance
How to Plot ROC Curve in R
Learn how to plot ROC curve in R for model evaluation
How to Plot ROC Curve in Python
Learn how to plot ROC curve in Python for model evaluation
Binary Logistic Regression in R
Learn how to perform binary logistic regression in R and evaluate the model performance
Logistic regression in Python (feature selection, model fitting, and prediction)
Logistic regression for prediction of breast cancer, assumptions, feature selection, model fitting, model accuracy, and interpretation
How to Split Data into Train and Test Sets in Python with sklearn
Learn how to split train and test datasets in Python using train_test_split() function from sklearn
Linear Regression Using Neural Networks (PyTorch)
Linear regression using PyTorch
What is Stratified sampling and why should you use it (with example in Python)?
Learn how to perform stratified sampling in Python
Machine Learning
Python: Why VIF Return Inf Value?
Learn resons behind the Inf Value in VIF analysis in Python with example
Find Max and Min Sequence Length in Fasta
Learn how to find the maximum and minimum sequence lengths in a FASTA file using Python, seqkit, and samtools
UMAP dimension reduction algorithm in Python (with example)
How to reduce and visualize high-dimensional data using UMAP in Python
t-SNE in Python for visualization of high-dimensional data
t-SNE using sklearn package. This article explains the basics of t-SNE, differences between t-SNE and PCA, example using scRNA-seq data, and results interpre...
K-means Clustering in Python: Detailed Guide With Example
This article how to perform and visualize the K-means Clustering in Python
Understanding random sampling with and without replacement (with python code)
Learn how to perform random sampling with and without replacement and example in Python
Linear model
Logistic regression in Python (feature selection, model fitting, and prediction)
Logistic regression for prediction of breast cancer, assumptions, feature selection, model fitting, model accuracy, and interpretation
Multiple linear regression (MLR)
Multiple regression analysis using statsmodels. Learn how to define regression model, assumptions, metrics evaluation, and interpretation
Linear regression in Python (using sklearn and statsmodels)
This article explains background of the linear regression and how to perform a linear regression with a Python code.
ANCOVA using R and Python (with examples and code)
A step-by-step article for performing ANCOVA in R and Python. This article describes the background of ANCOVA, assumptions, hypotheses, and codes for perform...
Molecular Biology
What is Log2 Fold Change in Bioinformatics
Learn what is log2 fold change, how to calculate log2 fold change, and why log2 transformation used for measuring the fold change between samples in bioinfo...
Steps in PCR
Learn the step-by-step process of Polymerase Chain Reaction (PCR)
Methods to Calculate Melting Temperature (Tm) for Primers
Learn how to calculate primer melting temperature (Tm) for precise DNA amplification and molecular biology experiments
Calculate Melting Temperature (Tm) in R
Three methods to calculate melting temperature (Tm) in R
Linux
How to Count Number of Columns in CSV File in Bash
Learn how to count the number of columns in a CSV file using awk
Linux for Bioinformatics (for beginners)
Learn Linux command lines for Bioinformatics analysis
How to setup passwordless login to the SSH server
Learn how to setup a passwordless login to remote SSH server
High-throughput sequence analysis
Bioinformatics file readers and processing (FASTA, FASTQ, and VCF)
Biological data handling and processing using Python codes
FASTQ Sequence Quality Format
FASTQ sequence example, quality formats, and quality format detection
Convert GFF3 to GTF file format
Introduction to GFF3 and GTF files, and their interconversions using Python code
Dimensionality reduction
UMAP dimension reduction algorithm in Python (with example)
How to reduce and visualize high-dimensional data using UMAP in Python
t-SNE in Python for visualization of high-dimensional data
t-SNE using sklearn package. This article explains the basics of t-SNE, differences between t-SNE and PCA, example using scRNA-seq data, and results interpre...
Principal component analysis (PCA) and visualization using Python (Detailed guide with example)
PCA using sklearn package. This article explains the basics of PCA, sample size requirement, data standardization, and interpretation of the PCA results
Python String
3 ways to get the last characters of a string in Python
Learn how to get last any number of characters of the strings in Python
3 easy ways to remove the last characters of a string in Python
Learn how to get remove any number of characters of the strings in Python
Genomic visualization
Volcano plot in Python
Volcano plot using bioinfokit package. This article explains the visualization of volcano plots for gene expression data
Convert GFF3 to GTF file format
Introduction to GFF3 and GTF files, and their interconversions using Python code
Biostatistics
Kruskal-Wallis test in R [with example and code]
Kruskal-Wallis test is a non-parametric test for estimating the differences between multiple groups. Learn the basics of Kruskal-Wallis test, its underlying ...
Calculator
Fisher’s exact test calculator (with formula)
Online calculator for Fisher’s exact test of independence for 2 x 2 contingency table
pandas
How to identify and drop duplicates based on single and multiple columns in a pandas DataFrame
Learn how to identify and drop duplicates in a pandas DataFrame
seaborn
Violin plot in Python (using seaborn and matplotlib)
Learn how to create violin plots in Python (using seaborn and matplotlib package)
Genotyping
Annotation of genetic variants (SNPs/InDels) in VCF file
Genetic variant annotation for variant location in the genome, associated genes, and their gene functions
Variant Annotation
Annotation of genetic variants (SNPs/InDels) in VCF file
Genetic variant annotation for variant location in the genome, associated genes, and their gene functions
Variant analysis
Manhattan plot in Python
Introduction, analysis, and visualization of Manhattan plot in Python
Multivariate analysis
Principal component analysis (PCA) and visualization using Python (Detailed guide with example)
PCA using sklearn package. This article explains the basics of PCA, sample size requirement, data standardization, and interpretation of the PCA results
Clustering
K-means Clustering in Python: Detailed Guide With Example
This article how to perform and visualize the K-means Clustering in Python
Genomics
RNA-seq Data Analysis with edgeR
Perform differential gene expression analysis of RNA-seq data using EdgeR
Biotechnology
IUPAC Nucleotide Codes
IUPAC codes for representing nucleotide degeneracy
Bash
How to Count Number of Columns in CSV File in Bash
Learn how to count the number of columns in a CSV file using awk