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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.