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Table 2 Performance comparison of DMirNet with the state-of-the-art Ensemble model

From: DMirNet: Inferring direct microRNA-mRNA association networks

Dataset Direct correlation inference methods the state-of-the-art method
Corpcor Space MIND E-C&S&M B&E-C&S&M Pearson IDA Lasso E-P&I&L
EMT 35 45 24 41 40 30 29 29 31
MCC 200 183 210 209 216 205 198 187 203
BR 98 83 95 102 105 114 124 120 101
  1. To compare the performance of our method with a related work, we investigate the number of experimentally confirmed miRNA-mRNA associations of the state-of-the-art Ensemble model. It combines Pearson’s correlation (denoted as P), IDA (denoted as I), and Lasso (denoted as L) using the Borda count election and was reported as the best-performed Ensemble model on the three datasets [1]. ‘E’ denotes the Ensemble approach, and ‘B&E’ denotes the DMirNet with both bootstrapping and Ensemble aggregation
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BMC Systems Biology

ISSN: 1752-0509

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