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Table 3 Comparison results of BGMM, BMM and GMM in applications to real data

From: A joint finite mixture model for clustering genes from independent Gaussian and beta distributed data

    All F C P
Dataset Model Criterion Mean Median Mean Median Mean Median Mean Median
  BMM 4 0.2094 0.2246 0.3410 0.3453 0.3512 0.3552 0.3417 0.3404
Setrand 1 GMM 4 0.1958 0.1658 0.26719 0.3091 0.2925 0.3408 0.2747 0.3398
  BGMM 4 0.1568 0.1047 0.2347 0.1826 0.2663 0.2536 0.2451 0.2287
   BIC/AIC3 0.2071 0.1863 0.3261 0.3490 0.3408 0.3505 0.3331 0.3585
  BMM ICL 0.2013 0.2013 0.3080 0.3080 0.3631 0.3631 0.3594 0.3594
Setrand 2   AIC 0.1634 0.1505 0.2699 0.2499 0.2890 0.2772 0.2727 0.2427
  GMM 4 0.1958 0.1658 0.2672 0.3091 0.2925 0.3408 0.2747 0.3398
  BGMM 4 0.1436 0.0954 0.2198 0.2199 0.2453 0.2526 0.2311 0.2409
  BMM 4 0.2204 0.2204 0.3748 0.3748 0.3799 0.3799 0.3769 0.3769
Setrand 3 GMM 4 0.1958 0.1658 0.2672 0.3091 0.2925 0.3408 0.2747 0.3398
  BGMM 4 0.1466 0.1155 0.2623 0.2551 0.2838 0.3036 0.2714 0.2811
  BMM 4 0.2407 0.2414 0.3228 0.3055 0.3575 0.3695 0.3300 0.3442
Set real GMM BIC/ICL 0.1973 0.1957 0.2799 0.2999 0.3040 0.3486 0.2883 0.3214
   AIC/AIC3 0.1882 0.1708 0.2747 0.2917 0.3010 0.3325 0.2813 0.3103
  BGMM 4 0.0987 0.0610 0.2455 0.2170 0.2894 0.2999 0.2558 0.2658
  1. Statistics shown in this table are the group average of the p-values of gene enrichment score (each p-value is the average of the p-values of all the ontology groups corresponding to the best clustering result selected by its corresponding model selection criterion). TFs of 'Setrand 1' to 'Setrand 3'were randomly chosen according to certain thresholds (details shown in the text), while TFs of 'Set real ' were carefully selected by BMM.
  2. Note: 'F', 'C' and 'P' stand for the three aspects of gene ontology; 'All' means all aspects are included. '4' represents that all the four criteria indicate the same clustering result. Statistics shown here are all rounded to 4 decimals.