GEO studies.zip

Here, we reanalysed a total of 27 GEO studies to identify and annotate lung cancer versus normal signatures, as well as single-gene perturbation, and single-drug perturbation signatures. Differential expression within each category was computed using GEO2Enrichr and the Characteristic Direction method. We identified the co-DEGs across different studies within each category, and their upstream regulating kinases and TFs using Expression2Kinases.

本研究共重新分析了27项基因表达综合数据库（Gene Expression Omnibus，GEO）的研究，旨在鉴定并注释肺癌与正常组织的特征基因集、单基因扰动特征集以及单药物扰动特征集。我们采用GEO2Enrichr与特征方向法（Characteristic Direction Method）计算了各分类下的差异表达情况。随后借助Expression2Kinases工具，我们鉴定出了各分类下不同研究间的共差异表达基因（co-differentially expressed genes，co-DEGs），以及这些基因的上游调控激酶与转录因子（Transcription Factors，TFs）。