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Table 6 Performance of the classifier model and the influence of newly added features on the data of 11 different tissues and cell types: with histone modification.

From: CpGIMethPred: computational model for predicting methylation status of CpG islands in human genome

Procedure Tissue/Cell Type with added features without added features
   SP SE ACC CC SP SE ACC CC
Validation CD4 0.9405 0.9257 0.9313 0.8302 0.8685 0.8822 0.8786 0.7558
Testing CD8 0.9608 0.8932 0.9448 0.8286 0.8692 0.8534 0.8758 0.7476
  liver 0.9680 0.8762 0.9465 0.8292 0.8512 0.8468 0.8698 0.7398
  heart muscle 0.9462 0.9479 0.9466 0.8342 0.8678 0.8796 0.8724 0.7542
  skeletal muscle 0.9542 0.9451 0.9524 0.8411 0.8714 0.8923 0.8895 0.7612
  embryonic skeletal 0.9395 0.9367 0.9389 0.8337 0.8676 0.8802 0.8774 0.7553
  embryonic liver 0.9259 0.9342 0.9277 0.8250 0.8490 0.8834 0.8683 0.7324
  placenta 0.9695 0.9130 0.9571 0.8412 0.8704 0.8742 0.8802 0.7597
  dermal melanocytes 0.9663 0.8785 0.9446 0.8401 0.8677 0.8792 0.8726 0.7498
  dermal fibroblasts 0.9525 0.9239 0.9467 0.8332 0.8625 0.8792 0.8656 0.7478
  dermal keratinocytes 0.9385 0.9341 0.9376 0.8310 0.8505 0.8690 0.8502 0.7371
  sperm 0.8459 0.9778 0.8617 0.7204 0.7115 0.8992 0.7508 0.6052