Skip to main content

Table 6 Average c-index values of the proposed model and random forest model using different numbers of randomly selected signaling pathways. The mean c-index was obtained by randomly selecting the training (80% of the dataset) and test (20% of dataset) data for 50 times

From: Investigating the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model

# of pathway

Proposed model

Random forest model

Mean c_index on training data

Mean c_index on test data

Mean c_index on training data

Mean c_index on test data

GBM

10

0.6428

0.6115

0.6832

0.5182

20

0.6442

0.6129

0.672

0.5159

30

0.6247

0.5975

0.6617

0.5314

40

0.6300

0.6196

0.6602

0.5418

SKCM

10

0.6948

0.6626

0.7684

0.4943

20

0.7226

0.6702

0.7701

0.4434

30

0.7197

0.6614

0.772

0.4336

40

0.7629

0.6772

0.7739

0.4265

BRCA

10

0.4397

0.3713

0.7859

0.5294

20

0.6051

0.4577

0.8029

0.5225

30

0.6661

0.5622

0.81

0.5282

40

0.6497

0.5506

0.8093

0.5139

LUAD

10

0.7349

0.7050

0.8158

0.5195

20

0.7226

0.7131

0.8162

0.5349

30

0.7347

0.7171

0.8101

0.5551

40

0.7119

0.7226

0.8091

0.5669

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us