Research Article
RRHGE: A Novel Approach to Classify the Estrogen Receptor Based Breast Cancer Subtypes
Table 4
Classification results of the RRHGE gene signature and other existing gene signatures on two testing sets, for example, (A) the Desmedt dataset and (B) the van de Vijver dataset.
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Here, N defines the total number of samples, TP defines true positive (ER+ samples predicted as ER+), TN defines true negative (ER− samples predicted as ER−), FP defines false positive (ER− samples predicted as ER+), FN defines false negative (ER+ samples predicted as ER−), SE defines sensitivity, SP defines specificity, ACC defines accuracy, and MCC defines Matthews coefficient correlation. For simplicity, we represent the Genomic Grade Index as GGI, 70 gene signature as 70 g, 76 gene signature as 76 g, Interactome-Transcriptome Integration as ITI, and Hub-based Reliable Gene Expression as HRGE.. The RRHGE subnetwork based gene signature provides superior performance in both (A) Desmedt and (B) van de Vijver dataset. |