Table 3

The performance of CoreBoost classifiers

Sensitivity

PPV

F-Score


HSMM

Promoter

CpG

0.929 ± 0.098

0.467 ± 0.012

0.619 ± 0.033

non-CpG

0.764 ± 0.214

0.617 ± 0.043

0.662 ± 0.123

Body

CpG

0.919 ± 0.135

0.473 ± 0.022

0.618 ± 0.043

non-CpG

0.860 ± 0.183

0.608 ± 0.025

0.700 ± 0.093

miRNA

Promoter

Set I

0.417 ± 0.037

0.441 ± 0.036

0.426 ± 0.011

Set II

0.365 ± 0.073†

0.521 ± 0.085

0.422 ± 0.079†

Body

Set I

0.255 ± 0.080

0.220 ± 0.068†

0.234 ± 0.068†

Set II

0.125 ± 0.057*

0.099 ± 0.069*

0.102 ± 0.056*


In the "HSMM" rows, the classifiers were trained based on eight HMV features in CD4+ T cells, in the proximal promoter and gene body region, respectively. In the "miRNA" rows, the classifiers were trained on full Set I or Set II HMV features. Averages and errors are given as the mean and standard deviation from 100 replicates. The significances of comparison between the performance of CoreBoost trained on features in those regions and control regions are indicated by symbols next to each number. No symbol indicates p-value < 1e-5; * indicates p-value < 1e-2 and > = 1e-5; † indicates p-value > 1e-2.

Zhang and Zhang BMC Bioinformatics 2011 12:155   doi:10.1186/1471-2105-12-155

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