Prior Knowledge Transfer Across Transcriptional Datasets Using Compositional Statistics [Tumor]
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE73551
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An expert-pathologist-reviewed epithelial ovarian cancer reference library (n = 50) used to assign the histopathology of epithelial ovarian cell lines using compositional statistics and random gene-sets In the study presented here, we applied Gene Expression Compositional Assignment (GECA) to epithelial ovarian cell lines (GSE73637), using first a reference library of solid tumors (expO [http://www.intgen.org/expo/]) and then a second library of expert pathologically-reviewed epithelial ovarian cancer samples
创建时间：
2016-11-10
