Nothing
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.
Package details |
|
---|---|
Author | Danielle Maeser [aut, cre] (<https://orcid.org/0000-0002-3890-887X>), Robert Gruener [ctb] |
Bioconductor views | BiocGenerics GenomicFeatures GenomicRanges IRanges S4Vectors TxDb.Hsapiens.UCSC.hg19.knownGene biomaRt genefilter maftools org.Hs.eg.db preprocessCore stringr sva |
Maintainer | Danielle Maeser <maese005@umn.edu> |
License | GPL-2 |
Version | 0.2 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.