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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