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Table 5 TCGA dataset validation

From: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions

Model

Time

Test error

Model size

5A. Breast cancer

 binomialRF

83 (11)

0 (0)

27 (4)

 RFE

100 (13)

0 (0)

692 (23)

 Perm

112 (16)

0 (0)

1092 (39)

 Vita

493 (88)

0 (0)

19,933 (10)

 Boruta

1667 (617)

0 (0)

92 (3)

5B. Kidney cancer

 binomialRF

51 (10)

0 (0)

48 (3)

 RFE

67 (10)

0 (0)

592 (55)

 Perm

73 (12)

0 (0)

867 (55)

 Vita

315 (72)

0 (0)

19,760 (41)

 Boruta

987 (363)

0 (0)

24 (2)

  1. The algorithms in Table 1 were tested and compared using the TCGA breast cancer and kidney datasets, reporting the mean (and standard deviation in parentheses). Half of the methods were not included as they encountered computation or memory limitations in running the TCGA datasets
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BMC Bioinformatics

ISSN: 1471-2105

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