Table 1.
(a) Comparing M2 with other EMASE models | ||||
---|---|---|---|---|
M1 | M3 | M4 | ||
% of Genes: | ||||
M2 is better | 11.5 ± 0.2 | 1.1 ± 0.1 | 2.3 ± 0.2 | |
The other is better | 3.3 ± 0.1 | 0.6 ± 0.1 | 2.0 ± 0.1 | |
% of Isoforms: | ||||
M2 is better | 16.9 ± 0.2 | 18.2 ± 0.2 | 18.7 ± 0.2 | |
The other is better | 11.0 ± 0.2 | 12.2 ± 0.2 | 13.1 ± 0.2 | |
(b) Comparing M2 with other existing methods | ||||
RSEM | kallisto | Unique | WASP | |
% of Genes: | ||||
M2 is better | 3.7 ± 0.2 | 7.1 ± 0.3 | 6.2 ± 0.1 | 26.2 ± 0.8 |
The other is better | 2.9 ± 0.1 | 4.4 ± 0.2 | 2.6 ± 0.1 | 5.1 ± 0.2 |
% of Isoforms: | ||||
M2 is better | 19.8 ± 0.3 | 22.2 ± 0.2 | 13.6 ± 0.2 | N/A |
The other is better | 13.2 ± 0.2 | 14.0 ± 0.2 | 5.6 ± 0.1 | N/A |
Note: For each pair of methods, we consider only those genes for which one or both estimates of ASE deviate by 5% or more from simulated truth. We then tabulated the proportion of genes or isoforms for which one model is closer to the truth. The pairwise comparisons are summarized relative to EMASE model M2. WASP does not provide isoform-level estimation. See Supplementary Figures S2–S6.