This paper presented the largest (at the time) collection of genome wide shRNA screens of human breast cancer lines, all linked to genomic (mutations, copy number variants, RNAseq, miRNAs) information and RPPA, along with detailed informatics analysis that suggests functional classifications of cancer vulnerabilities.
Functional Genomic Landscape of Human Breast Cancer Drivers, Vulnerabilities, and Resistance
Cell. 2016 Jan 14;164(1-2):293-309.
