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Table 3 The performance of CoreBoost classifiers

From: Histone modification profiles are predictive for tissue/cell-type specific expression of both protein-coding and microRNA genes

   

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*

  1. 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.
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BMC Bioinformatics

ISSN: 1471-2105

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