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Table 2 Simulation study

From: A novel approach for biomarker selection and the integration of repeated measures experiments from two assays

Number of genes

Original matrix

Within matrix

1 component

2 components

3 components

1 component

2 components

3 components

25

0.535

0.369

0.312

0.500

0.271

0.024

50

0.530

0.364

0.311

0.500

0.265

0.016

75

0.527

0.360

0.306

0.500

0.261

0.013

100

0.524

0.354

0.300

0.500

0.258

0.011

125

0.522

0.351

0.296

0.500

0.257

0.009

150

0.520

0.343

0.285

0.500

0.250

0.008

175

0.518

0.335

0.281

0.500

0.243

0.009

200

0.516

0.327

0.268

0.500

0.234

0.009

225

0.514

0.323

0.269

0.500

0.227

0.009

250

0.512

0.316

0.267

0.500

0.220

0.008

275

0.510

0.314

0.266

0.500

0.207

0.007

300

0.510

0.306

0.262

0.500

0.196

0.007

325

0.509

0.299

0.260

0.500

0.182

0.007

  1. Classification error rate estimation using leave-one-out cross-validation for classical sPLS-DA and multilevel sPLS-DA, with respect to the number of genes selected on each component (averaged over 100 simulation runs).
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BMC Bioinformatics

ISSN: 1471-2105

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