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. Author manuscript; available in PMC: 2018 Aug 13.
Published in final edited form as: IEEE/ACM Trans Comput Biol Bioinform. 2017 Jun 6;15(4):1315–1324. doi: 10.1109/TCBB.2017.2712607

TABLE 2.

Comparisons of SSC-LRR with other methods for cancer classification on the R-GCM and MBD datasets *

Datasets Method REC FPR MCC Overall Acc (Q) General corr (GC)
R-GCM SVM 0.510 (1.79×10−7) 0.052 (1.25×10−4) 0.503 (5.55×10−7) 0.554 (3.37×10−5) 0618 (1.34×10−5)
RPCA+SVM 0.521 (1.20×10−4) 0.051 (3.79×10−6) 0.512 (3.52×10−6) 0.562 (8.96×10−7) 0.624 (1.48×10−6)
Label Propagation 0.324 (5.26×10−6) 0.056 (2.85×10−4) 0.308 (2.96×10−7) 0.409 (2.34×10−4) 0.445 (2.79×10−4)
Semi-PNMF 0.658 (8.07×10−4) 0.029 (8.64×10−5) 0.633 (9.03×10−5) 0.707 (3.17×10−5) 0.710 (5.10×10−4)
SSC-LRR 0.715 0.023 0.762 0.753 0.762
MBD SVM 0.636 (1.56×10−5) 0.167 (3.70×10−3) 0.504 (1.34×10−3) 0.471 (1.34×10−4) 0.651 (7.67×10−4)
RPCA+SVM 0.451 (1.16×10−8) 0.175 (6.92×10−6) 0.279 (5.85×10−8) 0.653 (6.35×10−8) 0.385 (2.28×10−8)
Label Propagation 0.553 (9.99×10−5) 0.184 (8.94×10−4) 0.348 (3.77×10−5) 0.646 (7.85×10−3) 0.415 (1.09×10−4)
Semi-PNMF 0.884 (4.62×10−2) 0.106 (3.96×10−2) 0.635 (9.78×10−3) 0.708 (3.49×10−2) 0.676 (1.58×10−3)
SSC-LRR 0.959 0.033 0.888 0.897 0.920
*

Parameter M for splitting benchmark dataset is set to 6. Values in parentheses are p-values in student t-test relative to SSC-LRR.