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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