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Table 2 Statistical results by performing PCA after REDISC and RELIC with different parameters on the Colon data set

From: Dimension reduction with redundant gene elimination for tumor classification

 

#genes

Sensitivity

Specificity

BACC

Precision

PPV

NPV

Correction

RELIC 0.1

5.62

0.9750

0.2817

0.6283

0.7231

0.7231

0.4800

0.7298

RELIC 0.2

8.56

0.9625

0.3917

0.6771

0.7546

0.7546

0.6333

0.7605

RELIC 0.3

16.55

0.9300

0.5483

0.7392

0.8075

0.8075

0.7267

0.7931

RELIC 0.4

28.08

0.9175

0.6650

0.7912

0.8480

0.8480

0.8142

0.8279

RELIC 0.5

49.55

0.9075

0.7033

0.8054

0.8645

0.8645

0.8075

0.8338

RELIC 0.6

94.3

0.9125

0.7250

0.8188

0.8743

0.8743

0.8208

0.8455

RELIC 0.7

218.37

0.9025

0.7917

0.8471

0.9053

0.9053

0.8483

0.8631

RELIC 0.8

542.46

0.8725

0.7883

0.8304

0.8987

0.8987

0.8102

0.8424

RELIC 0.9

1413.92

0.9000

0.7400

0.8200

0.8802

0.8802

0.8175

0.8426

REDISC 0.1

2

0.9975

0.0150

0.5063

0.6516

0.6516

0.0200

0.6510

REDISC 0.2

2.1

0.9875

0.0550

0.5213

0.6599

0.6599

0.1000

0.6590

REDISC 0.3

2.94

0.9800

0.2167

0.5983

0.7039

0.7039

0.3950

0.7095

REDISC 0.4

4.3

0.9675

0.3350

0.6513

0.7396

0.7396

0.5483

0.7424

REDISC 0.5

8.09

0.9175

0.5017

0.7096

0.7875

0.7875

0.6833

0.7690

REDISC 0.6

15.82

0.8975

0.6533

0.7754

0.8443

0.8443

0.7525

0.8112

REDISC 0.7

41.9

0.9000

0.7750

0.8375

0.8978

0.8978

0.8108

0.8562

REDISC 0.8

157.06

0.8900

0.8117

0.8508

0.9142

0.9142

0.8300

0.8617

REDISC 0.9

558

0.8750

0.7483

0.8117

0.8828

0.8828

0.7892

0.8298

Full Set

2000

0.8925

0.7150

0.8038

0.8680

0.8680

0.7950

0.8290