GEO DataSets

(Submitter supplied) Large-scale genomic studies have identified multiple somatic aberrations in breast cancer, including copy number alterations, and point mutations. Still, identifying causal variants and emergent vulnerabilities that arise as a consequence of genetic alterations remain major challenges. We performed whole genome shRNA "dropout screens" on 77 breast cancer cell lines. Using a hierarchical linear regression algorithm to score our screen results and integrate them with accompanying detailed genetic and proteomic information, we identify vulnerabilities in breast cancer, including candidate "drivers," and reveal general functional genomic properties of cancer cells. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by array

Platform:

GPL21133

621 Samples

Download data: CEL

(Submitter supplied) GMAP-UTS520601 array

Organism:

Homo sapiens

1 Series

621 Samples

Download data: CDF, TXT