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Table 2 Independent test identifying enhancers and non-enhancers under 10 trials

From: iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks

No. of Trials

ACC (%)

AUC (%)

SN (%)

SP(%)

MCC

1

0.768

0.831

0.780

0.755

0.535

2

0.765

0.834

0.790

0.740

0.531

3

0.770

0.835

0.775

0.765

0.540

4

0.768

0.831

0.795

0.740

0.536

5

0.773

0.832

0.785

0.760

0.545

6

0.778

0.837

0.800

0.755

0.556

7

0.773

0.832

0.780

0.765

0.545

8

0.773

0.832

0.780

0.765

0.545

9

0.758

0.830

0.785

0.730

0.516

10

0.763

0.830

0.780

0.745

0.525

Mean

0.769

0.832

0.785

0.752

0.537

SD

0.006

0.002

0.008

0.013

0.011

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BMC Genomics

ISSN: 1471-2164

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