There are 1 repository under gsea topic.
:bar_chart: A universal enrichment tool for interpreting omics data
Single sample Gene Set Enrichment analysis (ssGSEA) and PTM Enrichment Analysis (PTM-SEA)
Brings bulk and pseudobulk transcriptomics to the tidyverse
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
Enrichment Networks for Pathway Enrichment Analysis
Julia implementation of the next generation GSEA 🏔️
Gene Set Enrichment Analysis and Over Representation Analysis analysis using R
A web-based application to perform Gene Set Enrichment Analysis (GSEA) using clusterProfiler and shiny R libraries
Interpretation of RNAseq experiments through robust, efficient comparison to public databases
Pandas API for multiple Gene Set Enrichment Analysis implementations in Python (GSEApy, cudaGSEA, GSEA)
Flexible gene set enrichment analysis
Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data
Computational protemics analysis of cancer cell-lines at the level of single-cells
Integrated Differential Expression and Annotation
R Markdown script to perform bioinformatic analysis of RNA-seq raw count matrices, including DE-testing via DESeq2 and gene set enrichment analysis (GSEA).
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...
Testing, development environment for a new project of KN BIBS
Main projects during my current position in Petr Baranov Lab | Schepens Eye Research Institute, Mass General Hospital, Harvard Medical School
Gene Enrichment Identifier
Gene set enrichment network visualization
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
Web application that enables users to compare the expression of genes or enrichment of gene sets between different molecular subtypes of colorectal cancer