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)
肺癌基因特征。本数据集包含从肺癌数据集GSE19804中获取的最优基因特征所对应的322个基因(探针集(probesets))的完整列表及其排名信息。(TAB格式文件,大小41.1千字节)
提供机构:
Figshare
创建时间:
2017-12-19



