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Table 2 Performances of DeepEP and comparing models (using gene expression profiles combined with different central indexes (DC, CC, EC, BC, NC, and LAC))

From: DeepEP: a deep learning framework for identifying essential proteins

ModelAccuracyPrecisionRecallF-measureAUC
Gene expression + DC0.8030.5580.2200.3150.701
Gene expression + CC0.7820.4460.2470.3180.667
Gene expression + EC0.7740.4290.2930.3480.690
Gene expression + BC0.7890.4740.2150.2960.657
Gene expression + NC0.7790.4320.2430.3110.670
Gene expression + LAC0.7960.5330.2110.3020.672
Gene expression + node2vec0.8260.5840.5240.5520.816