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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 1.

Comparisons of different methods for cancer classification on the R-GCM and MBD datasets*

Datasets Method REC FPR MCC Overall Acc (Q) General Corr (GC)
R-GCM K-means 0.647 (1.72×10−5) 0.031 (1.69×10−6) 0.639 (3.04×10−6) 0.691 (2.38×10−6) 0.713 (2.20×10−6)
K-means with PCA 0.471 (4.11×10−6) 0.056 (1.11×10−6) 0.458 (1.39×10−6) 0.532 (2.42×10−7) 0.633 (1.40×10−5)
K-means with LRR 0.706 (3.76×10−1) 0.026 (6.49×10−4) 0.678 (3.63×10−2) 0.734 (6.23×10−3) 0.749 (3.13×10−3)
SSC-LRR 0.715 0.023 0.762 0.753 0.762
MBD K-means 0.846 (8.42×10−3) 0.112 (2.32×10−3) 0.717 (3.74×10−4) 0.644 (2.58×10−3) 0.833 (7.16×10−3)
K-means with PCA 0.675 (1.14×10−7) 0.171 (6.94×10−6) 0.532 (3.68×10−7) 0.459 (7.24×10−9) 0.698 (3.22×10−6)
K-means with LRR 0.762 (6.62×10−4) 0.079 (1.32×10−4) 0.770 (5.05×10−5) 0.765 (8.93×10−5) 0.836 (4.69×10−5)
SSC-LRR 0.959 0.033 0.888 0.897 0.920