NetNorM: Capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis
Fig 7
Comparison of patient stratifications obtained with the raw mutation data, NSQN (Pathway Commons) and NetNorM (Pathway Commons) for 8 cancer types.
(a) Association of patient subtypes with survival time. One circle indicates P ≤ 0.05 and two concentric circles indicate P ≤ 0.01 (log-rank test). Cases where clusters were too unbalanced (95% of the patients in one single cluster) are not shown. (b) Evaluation of the clustering stability as measured by the proportion of ambiguous clustering (PAC). The transparency of the triangles indicate the percentage of patients in the largest cluster. The scale ranges from 100% (totally opaque) to % (totally transparent) where N is the number of subtypes. Therefore opacity (resp. transparency) indicate unbalanced (resp. balanced) clusters. (c) Kaplan Meir survival curves for NetNorM subtypes with significantly distinct survival outcomes. In the legend are indicated the subtype number followed by the number of patients in the subtype.