PharmacoGx
Set of functions to perform large-scale analysis of pharmacogenomic data
Description: High throughput drug screening technologies have enabled the profiling of hundreds of cancer cell lines to a large variety of small molecules to discover novel and repurposed treatments. Several large studies have been publicly released testing candidate molecules, often with corresponding molecular profiles of the cell lines used for drug screening. These studies have become invaluable resources for the research community, allowing researchers to leverage the collected data to support their own research. However, such pharmacogenomic datasets are disparate and lack of standardization for cell line and drug identifiers, and used heterogeneous data format for the drug sensitivity measurements.
Authors:
Lab: Haibe-Kains
Release Date: 2016
Keywords: Classification, Gene Expression, Pharmacogenetics, Pharmacogenomics, Software
Citation
Smirnov P, Safikhani Z, El-Hachem N, Wang D, She A, Olsen C, Freeman M, Selby H, Gendoo D, Grossman P, Beck A, Aerts H, Lupien M, Haibe-Kains AG, (2016). “PharmacoGx: an R package for analysis of large pharmacogenomic datasets.” Bioinformatics (Oxford, England).1691 Samples
Datatype:PharmacoSet Object
Species:Human
Disease Type:Other
