BMC Medical Informatics and Decision Making

Table 5 Case study of the cancer patient stratification: accuracy obtained for each dataset and data integration. fMKL-DR is the best accuracy among the 20 runs, and fMKL-DR^a is accuracy tested at 95% confidence level

From: Stratifying patients using fast multiple kernel learning framework: case studies of Alzheimer’s disease and cancers

Cancer	Number of Samples	Alive/Dead	Gene expression	DNA methylation	miRNA expression	fMKL-DR	fMKL-DR^a
LUNG	106	42/64	62.50	65.63	71.88	78.13	75.00
GBM	275	202/73	77.44	75.56	76.67	81.11	80.00
BREAST	435	360/75	88.57	88.57	91.43	94.29	93.57
OV	541	258/283	59.44	58.33	55.00	62.22	61.67
KIDNEY	122	90/32	81.25	81.25	78.13	87.50	85.00
LIVER	451	277/174	66.00	69.00	65.00	72.00	71.33

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