A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
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Updated
Jan 21, 2025 - Python
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics
Differential expression analysis for single-cell RNA-seq data.
Brings bulk and pseudobulk transcriptomics to the tidyverse
MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data
Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
integrated RNA-seq Analysis Pipeline
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
Porting DESeq2 into python via rpy2
R package for pathway analysis in scRNA-seq data
A Snakemake workflow for differential expression analysis of RNA-seq data with Kallisto and Sleuth.
Compare different differential abundance and expression methods
Explore and share your scRNAseq clustering results
Experimental design framework for scRNAseq population studies (eQTL and DE)
Best practice RNA-Seq analysis pipeline for reference-based RNA-Seq analysis
An R package to plot interactive three-way differential expression analysis
UNDER DEVELOPMENT--- Analysis of long non-coding RNAs from RNA-seq datasets
Interactive Differential Expression AnaLysis - DE made accessible and reproducible
pseudobulking on an AnnData object
Differential analysis of multi-omics data based on the Tweedie distribution
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