Ablation analysis of FSA on RNA structural databases.

Ablation analysis of FSA on the RNA benchmarks of Table 2 : Comparisons of the accuracies (Acc), sensitivities (Sn) and positive predictive values (PPV) of FSA with different components enabled or disabled. From top to bottom, FSA was run in default mode, –fast mode, with learning disabled, with iterative refinement disabled, with 1 set (rather than 2 sets) of indel states, and with anchored disabled; these options were then repeated for maximum-sensitivity mode (–maxsn). Iterative refinement is important for the large alignments of the mix80 dataset.