Analysis and visualization of RNA-Seq results
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Updated
May 23, 2024 - R
Analysis and visualization of RNA-Seq results
Cellular signatures characterisation after carcinogenic chemical exposure in mammalian tissue.
Pathway enrichment analysis / visualize for Single Cell Data
Gene set variation analysis
pathfindR: Enrichment Analysis Utilizing Active Subnetworks
From RNA-seq raw reads to enriched pathways by DEGs
Single sample pathway analysis tools for omics data
Single sample Gene Set Enrichment analysis (ssGSEA) and PTM Enrichment Analysis (PTM-SEA)
Single Cell RNA-seq analysis of Persister Cells to unearth key stress pathways and core, differential genes of those respective pathways
CAusal Reasoning for Network Identification with integer VALue programming in R
Explore biomolecular pathways in Reactome from the command-line or a Python script
Web application that enables users to compare the expression of genes or enrichment of gene sets between different molecular subtypes of colorectal cancer
Cancer-dedicated gene set interpretation
R package for de novo pathway enrichment using KeyPathwayMiner
This repo contains code to pre-process, quant, and analyze RNA-Seq data obtained from human enteriod cell cultures
A compilation of functions and scripts I've created to streamline analysis of phosphoproteomic data in Python!
A Python package for metabolite enrichment analysis.
This repository contains primary source code for "Transcriptomic portraits and molecular pathway activation features of spinal intramedullary astrocytomas" manuscript.
FunMappOne: a tool to summarize and visually navigate functional categories in multiple experiments.
CHAP: Modeling Metabolic Pathways as Groups (with Augmentation)
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