Differential Expression Analysis in Python with PyDESeq2
Автор: Mr. BioinformatiX
Загружено: 2025-11-06
Просмотров: 297
Differential Expression Analysis in Python with PyDESeq2
Learn how to perform differential gene expression analysis in Python using PyDESeq2, a powerful port of the DESeq2 package! In this step-by-step tutorial, we’ll cover:
Importing RNA-seq count data
Normalizing gene expression
Running differential expression analysis
Interpreting log2 fold changes and adjusted p-values
Visualizing results with volcano plots
Whether you're working with bulk RNA seq or single-cell data, PyDESeq2 makes it easy to find significantly up- or down-regulated genes — all within Python!
📦 Libraries used: `pydeseq2`, `pandas`, `matplotlib`, `seaborn`
💡 Level: Beginner to Intermediate Bioinformatics
Link: https://pydeseq2.readthedocs.io/en/la...
#Bioinformatics #RNAseq #PyDESeq2 #DifferentialExpression #genomics #bioinformaticsforbeginners #mrbioinformatix #geneexpression #python
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