Threshold Method List

Ontology ID Name Description Parent Action
TH:00010000 error correction data transformation
TH:00011000 multiple testing correction method
TH:00011100 Conover-Iman test of multiple comparisons using rank sums multiple testing correction method
TH:00011200 Dunn’s multiple comparison test multiple testing correction method
TH:00011300 false discovery rate correction method (FRD) multiple testing correction method
TH:00011310 Benjamini and Hochberg false discovery rate correction method (BH-FDR) false discovery rate correction method (FRD)
TH:00011320 Benjamini and Yekutieli false discovery rate correction method (BY-FDR) false discovery rate correction method (FRD)
TH:00011330 Holm Sequentially Rejective Multiple Test FDR correction (SRB) false discovery rate correction method (FRD)
TH:00011340 Hommel Stagewise Rejective Multiple Test Procedure FDR correction (Hommel) false discovery rate correction method (FRD)
TH:00011350 Sidak single-step adjusted p-values false discovery rate correction method (FRD)
TH:00011360 Sidak step-down adjusted p-values false discovery rate correction method (FRD)
TH:00011400 family wise error rate correction method (FWER) multiple testing correction method
TH:00011410 Holm-Bonferroni family-wise error rate correction method (HB-FEWER) family wise error rate correction method (FWER)
TH:00011420 Li and Ji Bonferroni correction based on the effective number of markers (LJ-FEWER) family wise error rate correction method (FWER)
TH:00011430 Harmonic mean p-value procedure (HMP) family wise error rate correction method (FWER)
TH:00012000 resampling testing error correction data transformation
TH:00012100 permutation procedure resampling testing
TH:00012110 random permutation permutation procedure
TH:00012120 knuth shuffle permutation procedure
TH:00012130 Churchill-Doerge (CD) method permutation procedure
TH:00012140 conditional empirical threshold (CET) permutation procedure
TH:00012141 residual empirical threshold (RET) conditional empirical threshold (CET)
TH:00012142 location-dependent threshold (LDT) method conditional empirical threshold (CET)
TH:00013000 boostrapping error correction data transformation
TH:00013100 score-based resampling method boostrapping
TH:00013200 bootstrap model selection procedure boostrapping
TH:00014000 cross validation error correction data transformation
TH:00011440 Multiple-Bonferroni criterion (mBonf) Selects the model with the most loci that all have P values below the Bonferroni threshold. This criterion enables the user to specify the P-value threshold if one wants to allow for a higher FDR or restrict to a lower one multiple testing correction method