Skip to main content

Table 1 Prediction accuracy of predictive models of mRNA transcript abundance

From: Predicting expression: the complementary power of histone modification and transcription factor binding data

 

TF

HM+DNase

TF+HM+DNase

mESC

   

Log-linear regression

0.58 (0.01)

0.62 (0.01)

0.68 (0.01)

Support vector regression

0.64 (0.02)

0.67 (0.01)

0.70 (0.01)

GM12878

   

Log-linear regression

0.33 (0.01)

0.42 (0.01)

0.43 (0.01)

Support vector regression

0.39 (0.01)

0.45 (0.01)

0.46 (0.01)

  1. Three sets of ChIP-seq input data were considered: TF binding (TF), HM and DNase-I hypersensitivity (HM+DNase) and the concatenation of both (TF+HM+DNase). Prediction accuracy is based on tenfold cross-validation adjusted R2, reported as the mean and standard deviation of the ten folds.
  2. ChIP, chromatin immunoprecipitation; HM, histone modification; mESC, mouse embryonic stem cell; seq, sequencing; TF, transcription factor.
Back to article page

Epigenetics & Chromatin

ISSN: 1756-8935