NetNorM: Capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis
Fig 10
Exploring NSQN and NetNorM performances levers.
(a) Subtypes log-rank statistic obtained for LUAD (left) and SKCM (right). One circle indicate a P-value P ≤ 5 × 10−2 and two concentric circles indicate P ≤ 1 × 10−2 (log-rank test). (b) Consensus clustering matrices for LUAD. (c) Survival prediction performances for LUAD (left) and SKCM (right). (d) Confusion matrices for LUAD (top) and SKCM (bottom) comparing the subtypes obtained with NSQN and SimpNSQN on the one hand, and NSQN and NetNorM on the other hand. (a, b, c, d) were obtained with Pathway Commons.