GRAY

GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3905454 <strong>Disclaimer</strong> The GRAY data were generated and shared by the Gray Lab at the Oregon Health &amp; Science University (Laura MHeiser, Nicholas J Wang,, James E Korkola, Joe W Gray) in collaboration with the Sorger Lab at the Harvard Medical School (Marc Hafner, Elizabeth H Williams, Mario Niepel, Peter K Sorger). The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> The data are provided under CC0 1.0 Universal (CC0 1.0) Public Domain Dedication license. Source: https://datadryad.org/stash/dataset/doi:10.5061/dryad.03n60 <strong>Please cite the following when using these data</strong> Hafner M, Heiser LM, Williams EH, Niepel M, Wang NJ, Korkola JE, Gray JW, Sorger PK. Quantification of sensitivity and resistance of breast cancer cell lines to anti-cancer drugs using GR metrics. Sci Data. 2017 Nov 7;4:170166. doi: 10.1038/sdata.2017.166. PMID: 29112189; PMCID: PMC5674849. Daemen A, Griffith OL, Heiser LM, Wang NJ, Enache OM, Sanborn Z, Pepin F, Durinck S, Korkola JE, Griffith M, Hur JS, Huh N, Chung J, Cope L, Fackler MJ, Umbricht C, Sukumar S, Seth P, Sukhatme VP, Jakkula LR, Lu Y, Mills GB, Cho RJ, Collisson EA, van't Veer LJ, Spellman PT, Gray JW. Modeling precision treatment of breast cancer. Genome Biol. 2013;14(10):R110. doi: 10.1186/gb-2013-14-10-r110. Erratum in: Genome Biol. 2015;16:95. PMID: 24176112; PMCID: PMC3937590.