Where one study disagrees with what other studies report for the same models, and what we are doing to resolve each case.
These are automatic leads, not findings of error. Each release, a check compares how every study ranks the models it shares with other studies. It flags a study that reverses the order the others agree on, or whose gap to a shared reference model lies well outside theirs. Different tasks, populations or metrics often explain a flag.
A flag never hides a result. Flagged results stay in every table, page and download, marked Contested. A result is withheld only when a reviewer marks it disputed.
Comprehensive assessment of computational algorithms in predicting cancer driver mutations ranks LRT above MetaLR in 15 of 17 comparisons; 2 of 2 other studies rank MetaLR above LRT.
2 papers rank MetaLR above LRT in 12 of their 13 comparisons and LRT higher in 1. Comprehensive assessment… ranks LRT above MetaLR in 15 of its 20 comparisons and MetaLR higher in 2; 3 are ties.
Comprehensive assessment of computational algorithms in predicting cancer driver mutations ranks LRT above MetaSVM in 16 of 20 comparisons; 2 of 2 other studies rank MetaSVM above LRT.
2 papers rank MetaSVM above LRT in 12 of their 13 comparisons and LRT higher in 1. Comprehensive assessment… ranks LRT above MetaSVM in 16 of its 20 comparisons and MetaSVM higher in 4.