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. 2018 Feb 12;34(13):2177–2184. doi: 10.1093/bioinformatics/bty078

Table 1.

Head-to-head model comparisons

(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.