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. 2009 Jun 11;10(4):621–639. doi: 10.1093/biostatistics/kxp018

Table 1.

Comparison of the effectiveness of BMSS, SSS and MC3. The 3 rightmost columns show which regressions have been identified by each algorithm

Model Log-posterior BMSS SSS MC3
SFRS17A, GEM, RGS3, SDHC, W26659, ATP6V1F − 42.33 Yes Yes No
SFRS17A, TOMM40, RGS3, PJA2, W26659, ATP6V1F − 42.78 Yes No No
SFRS17A, RGS3, W26659, ATP6V1F, WSB1, CD19 − 43.03 Yes No No
SFRS17A, DPY19L4, RGS3, W26659, ATP6V1F, WSB1 − 43.17 Yes No Yes
SFRS17A, RGS3, W26659, ATP6V1F, WSB1, UBE2A − 43.27 Yes Yes No
SFRS17A, RGS3, PJA2, W26659, ATP6V1F, XPO1 − 43.31 Yes Yes Yes
SFRS17A, RGS3, HSPE1, W26659, ATP6V1F, WSB1 − 43.34 Yes Yes No
SFRS17A, GEM, RGS3, W26659, ATP6V1F, RAD21 − 43.49 Yes Yes Yes
SFRS17A, GEM, ARF6, KEAP1, W26659, ATP6V1F − 43.57 Yes Yes No
SFRS17A, GEM, RGS3, ARF6, W26659, ATP6V1F − 43.62 Yes Yes No
SFRS17A, GEM, RGS3, W26659, ATP6V1F, XPO1 − 43.63 Yes Yes Yes