Lncident: A Tool for Rapid Identification of Long Noncoding RNAs Utilizing Sequence Intrinsic Composition and Open Reading Frame Information
Table 3
Comparisons of S. cerevisiae.
Tools
Sensitivity
Specificity
Accuracy
-measure
MCC
Kappa
CPC.web
0.9734
0.9687
0.9697
0.9327
0.9145
0.9132
CPAT.web
1
0.7980
0.8416
0.7316
0.6785
0.6304
CNCI
0.9758
0.6760
0.7407
0.6190
0.5377
0.4598
PLEK
0.9903
0.5507
0.6456
0.5468
0.4491
0.3407
Lncident
1
0.8620
0.8918
0.7996
0.7578
0.7295
CPAT.train
1
0.9487
0.9597
0.9147
0.8942
0.8886
PLEK.train
0.9758
0.8053
0.8421
0.7274
0.6682
0.6262
Lncident.train
1
0.9680
0.9749
0.9451
0.9312
0.9289
Lncident presented the best result on S. cerevisiae dataset. with model trained on human. suffix of “train” means the tools with model trained on C. elegans.
