gsea
There are 59 repositories under gsea topic.
YuLab-SMU/clusterProfiler
:bar_chart: A universal enrichment tool for interpreting omics data
zqfang/GSEApy
Gene Set Enrichment Analysis in Python
broadinstitute/ssGSEA2.0
Single sample Gene Set Enrichment analysis (ssGSEA) and PTM Enrichment Analysis (PTM-SEA)
stemangiola/tidybulk
Brings bulk and pseudobulk transcriptomics to the tidyverse
igordot/msigdbr
MSigDB gene sets for multiple organisms in a tidy data format
JEFworks/liger
Lightweight Iterative Gene set Enrichment in R
nf-core/differentialabundance
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
kerseviciute/aPEAR
Enrichment Networks for Pathway Enrichment Analysis
xzhoulab/iDEA
Differential expression (DE); gene set Enrichment Analysis (GSEA); single cell RNAseq studies (scRNAseq)
ToledoEM/msigdf
Molecular Signatures Database (MSigDB) in a data frame
genescf/GeneSCF
Gene Set Clustering based on Functional annotation
KwatMDPhD/GSEA.jl
The official command-line program for gene-set-enrichment analysis (GSEA) 🏔️
lianos/sparrow
Take command of your set enrichment analyses.
gencorefacility/r-notebooks
Gene Set Enrichment Analysis and Over Representation Analysis analysis using R
nasqar/ClusterProfShinyGSEA
A web-based application to perform Gene Set Enrichment Analysis (GSEA) using clusterProfiler and shiny R libraries
krassowski/gsea-api
Pandas API for multiple Gene Set Enrichment Analysis implementations in Python (GSEApy, cudaGSEA, GSEA)
shbrief/GenomicSuperSignature
Interpretation of RNAseq experiments through robust, efficient comparison to public databases
NKI-CCB/flexgsea-r
Flexible gene set enrichment analysis
CSBiology/TMEA
Thermodynamically Motivated Enrichment Analysis (TMEA) is a new approach to gene set enrichment analysis.
NicolasH2/gggsea
GSEA plots in ggplot2
guokai8/richR
Function Enrichment analysis and Network construction
matteocereda/GSECA
Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data
IbrahimElzahaby/MSc_Thesis
Computational protemics analysis of cancer cell-lines at the level of single-cells
noamteyssier/idea
Integrated Differential Expression and Annotation
francescopatane96/RNA-seq_Pipeline
Deposited R scripts allow to execute a complete RNA-seq Pipeline, starting from sequence reads (FASTQ files) to mapping/annotate the genome using a reference, to counts the number of reads for every gene. when raw counts are obtained, DESeq2 module permits to find differentially expressed genes (DEG) and to perform statistical analysis. The last module of the project allows you to use clusterprofiler in order to perform ORA and GSEA analysis (over-representation analysis and gene set enrichment analysis) using GeneOntology (GO), disease ontology (DO), KEGG, reactome eg...
kn-bibs/pathways-analysis
Testing, development environment for a new project of KN BIBS
moritzmadern/BulkRNAseqAnalysis_from_countMatrix
R Markdown script to perform bioinformatic analysis on RNA-seq raw count matrices, including DE-testing via DESeq2 and gene set enrichment analysis (GSEA).
ahalfpen727/Gene-Expression-SecondaRy-Analysis
Repository of R scripts for analysis of gene expression data
ArataHayashi/GENI-Gene-ENrichment-Identifier
Gene Enrichment Identifier
awakenedhaki/weaver
Gene set enrichment network visualization
c-lonergan/nmf_gsea
Thesis: Identifying significantly enriched gene sets with NMF-derived metagenes and their difference vectors
chunjie-sam-liu/GSCA
An integrated genomic and immunogenomic web-based platform for gene set cancer research
DBRetina/DBRetina
DBRetina python package
mcrewcow/BaranovLab
Main projects during my current position in Petr Baranov Lab | Schepens Eye Research Institute, Mass General Hospital, Harvard Medical School
mcrewcow/RGC_Dnmt3a_pONC2d_paper
Retinal ganglion cells regeneration in 2 days post optic nerve crush retina | Lydia Tai | Dong Feng Chen Lab collaboration | Schepens Eye Research Institute, Mass General Hospital, Harvard Medical School
MolecularPathologyLab/SubtypeExploreR
Web application that enables users to compare the expression of genes or enrichment of gene sets between different molecular subtypes of colorectal cancer