This project is an automated pipeline to generate annotated gene expression atlases for kingdoms of life
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Updated
Dec 8, 2022 - Jupyter Notebook
This project is an automated pipeline to generate annotated gene expression atlases for kingdoms of life
AskoR pipeline: analysis of gene expression data, using edgeR.
Platform that allows querying of mitochondrial-nuclear co-expression data, developed using Shiny
R package for tissue enrichment analysis using read-count or FPKM-value matrix
Weighted Gene Co-expression Network Analysis (WGCNA) pipeline for identifying gene modules and hub genes from RNA-seq data
This project focuses on analyzing gene expression data from TCGA cancer data to derive associations among genes as well as disease phenotypes, co-expression signatures, and survival analysis.
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