EvgeniyaGorobets/PGxVision: Visualize Biomarkers and Pharmacogenomic Data

This is a generic plotting package meant to provide an easy way for bioinformaticists and clinicians to visualize pharmacogenomic data. The package provides some of the most commonly used graphs for visualizing drug response data: waterfall plots, volcano plots, and Manhattan plots. A forest plotting function is available for visualizing metadata. These graphs are intended to help clinicians spot promising biomarkers. To further analyze biomarker genes, this package additionally provides some gene set analyis functions. These functions (wrapped in the geneSetAnalysis pipeline) allow clinicians to find all gene sets that a query gene belongs to, and then evaluate overlap in those gene sets. The gene sets that a query gene is found in are mapped on a network plot, to help visualize the most notable biological roles of a gene. This gene set analysis puts biomarkers into their biological context, which can help clinicians understand why some genes are more responsive to certain compounds than others, etc.

Getting started

Package details

MaintainerEvgeniya Gorobets <evgeniya.gorobets@mail.utoronto.ca>
LicenseMIT + file LICENSE
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("EvgeniyaGorobets/PGxVision")
EvgeniyaGorobets/PGxVision documentation built on Dec. 17, 2021, 7:26 p.m.