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. 2019 Feb 5;10:42. doi: 10.3389/fphar.2019.00042

Table 3.

Matthews correlation coefficients (MCCs) of single-task DNN models on cross validation data.

Feature set Size Biliary hyperplasia Fibrosis Necrosis



Mean SD Mean SD Mean SD
Gene-level feature sets
Toxicity Module (L1000) 154 0.85 0.09 0.77 0.15 0.53 0.07
PTGS (core) 199 0.82 0.11 0.73 0.12 0.51 0.06
A200 200 0.83 0.09 0.66 0.12 0.51 0.07
A600 600 0.87 0.08 0.75 0.18 0.55 0.08
L1000 978 0.87 0.06 0.72 0.18 0.56 0.10
A1200 1,200 0.85 0.05 0.77 0.13 0.55 0.09
Toxicity Module Gene 1,312 0.89 0.07 0.78 0.13 0.55 0.09
PTGS (all) 1,331 0.85 0.08 0.77 0.17 0.54 0.09
Pathway-level feature sets
MSigDB (hallmark) 50 0.75 0.13 0.67 0.14 0.49 0.09
Toxicity Module 89 0.81 0.09 0.65 0.17 0.48 0.10
MSigDB (C2) L1000 1,220 0.83 0.09 0.67 0.21 0.53 0.08
MSigDB (C2) 1,329 0.82 0.08 0.68 0.16 0.51 0.07

Bold indicates the greatest mean MCC value for each injury phenotype.