Additional file 3 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping
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https://springernature.figshare.com/articles/dataset/Additional_file_3_of_A_gene-signature_progression_approach_to_identifying_candidate_small-molecule_cancer_therapeutics_with_connectivity_mapping/4403972/1
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资源简介：
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)
提供机构：
Chang-Sik Kim
创建时间：
2016-12-15
