A compilation of functions and scripts I've created to streamline analysis of phosphoproteomic data in Python!
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Updated
Oct 4, 2022 - Python
A compilation of functions and scripts I've created to streamline analysis of phosphoproteomic data in Python!
This repository contains primary source code for "Transcriptomic portraits and molecular pathway activation features of spinal intramedullary astrocytomas" manuscript.
CHAP: Modeling Metabolic Pathways as Groups (with Augmentation)
This repo contains code to pre-process, quant, and analyze RNA-Seq data obtained from human enteriod cell cultures
Single Cell RNA-seq analysis of Persister Cells to unearth key stress pathways and core, differential genes of those respective pathways
Neuronal genes mutation interactions and analysis
Web application that enables users to compare the expression of genes or enrichment of gene sets between different molecular subtypes of colorectal cancer
Python and R programs used in the identification of repurposed drugs against viruses responsible for causing epidemics/pandemics
Just another wrapper for pathway analysis using MAGMA
Thesis: Identifying significantly enriched gene sets with NMF-derived metagenes and their difference vectors
Pathway enrichment analysis / visualize for Single Cell Data
GWAS of Postmortem Brain Samples Sheds Light on the Development of Schizophrenia and Bipolar Disorder
Curated list of analysis pipelines for biological & clinical interpretation of data-driven findings
WikiPathways Summit Planning
Cellular signatures characterisation after carcinogenic chemical exposure in mammalian tissue.
R package for de novo pathway enrichment using KeyPathwayMiner
FunMappOne: a tool to summarize and visually navigate functional categories in multiple experiments.
Analysis and visualization of RNA-Seq results
A Python package for metabolite enrichment analysis.
Single sample pathway analysis tools for omics data
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