maese005/oncoPredict: Drug and Biomarker Discovery

Bridges in vitro drug screening with in vivo drug and biomarker discovery. Specifically, predicts in vivo or cancer patient drug response and biomarkers to enrich for response from cell line screening data. Builds model using ridge regression, and enables biomarker discovery by imputing drug response in large cancer molecular datasets. It also enables drug specific biomarker identification by correcting for general level of drug sensitivity shared among the population.

Getting started

Package details

Bioconductor views BiocGenerics GenomicFeatures GenomicRanges IRanges S4Vectors TCGAbiolinks TxDb.Hsapiens.UCSC.hg19.knownGene biomaRt genefilter org.Hs.eg.db preprocessCore stringr sva
Maintainer
LicenseGPL-2
Version0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("maese005/oncoPredict")
maese005/oncoPredict documentation built on April 15, 2022, 4:47 a.m.