Additional file 2 of Multi-label transcriptional classification of colorectal cancer reflects tumor cell population heterogeneity

Additional file 2: Table S2. Assignment of 620 TCGA samples using the Nearest Template PredictionmultiCRIS classifier. In the results, we identified samples with single label class CRIS, multi-label classes CRIS, and not classified. For classassignmentby NTP, FDR < 0.2 was considered significant.

附加文件2：表S2。基于最近模板预测（Nearest Template Prediction, NTP）multiCRIS分类器对620例癌症基因组图谱（The Cancer Genome Atlas, TCGA）样本进行类别分配的结果。本次分析共鉴定出单标签类别CRIS样本、多标签类别CRIS样本以及未分类样本。针对通过NTP完成的类别分配任务，当错误发现率（False Discovery Rate, FDR）小于0.2时，被视为具有统计学显著性。