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Table 3 The performance of TPpred-LE and one-versus-all RF classifier

From: TPpred-LE: therapeutic peptide function prediction based on label embedding

Method

ACCexample

F1label

TPpred-LE

0.536

0.422

RF-Concata

0.060

0.060

RF-Avgb

0.068

0.047

  1. aConcatenate all the input residual vectors as the sequence level input vectors
  2. bAverage all the input residual vectors as the sequence level input vectors
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BMC Biology

ISSN: 1741-7007

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