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Table 3 Evaluation of different methods using HMR195 and BG570 genomic datasets.

From: Identification of exonic regions in DNA sequences using cross-correlation and noise suppression by discrete wavelet transform

  BG570 HMR195
   S n   S n
   %10 %30 %50   %10 %30 %50
Methods AUC FP S p FP S p FP S p AUC FP S p FP S p FP S p
DFT 0.6540 279 45.8 767 43.3 1412 34.3 0.6782 438 51.5 1184 45 2064 41.7
AN filter 0.6765 121 55 499 49.7 1103 36.7 0.7615 151 64.4 526 57.4 1217 51.1
Asif 0.5748 140 34.2 330 31.7 554 29.1 0.6261 214 47.1 473 44.6 787 39.9
AMDF 0.6600 340 40.8 770 39.4 1309 35.3 0.6980 410 47.9 1010 46.8 1821 43.3
TDP 0.7560 160 62 408 56 805 49.4 0.7850 262 64.8 627 60.4 1128 56
Cross-correlation (proposed) 0.8143 81 75.5 244 69 547 61 0.8250 124 71 382 67 841 59
  1. Table 3 shows the area under the ROC curve (AUC), the number of false positives (FP), the approximate correlation (AC) and specificity (S p ) at a given sensitivity (S n ) for the proposed method and for other methods using the BG570 and HMR195 datasets.