12859_2016_1066_MOESM3_ESM.tab (41.18 kB)

Additional file 3 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping

dataset

posted on 2016-05-11, 05:00 authored by Qing Wen, Chang-Sik Kim, Peter Hamilton, Shu-Dong Zhang

Lung cancer gene signature. The full list of 322 genes (probesets) and their ranks for the optimal gene signature obtained from the lung cancer dataset GSE19804. (TAB 41.1 kb)

Funding

BBSRC/MRC/EPSRC co-funded grant

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Keywords

Connectivity mapping Differentially expressed genes Gene signature progression Disease inhibitory compounds Lung cancer Breast cancer

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CC BY + CC0

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