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. Author manuscript; available in PMC: 2012 Oct 1.
Published in final edited form as: Genomics. 2011 Jul 7;98(4):310–317. doi: 10.1016/j.ygeno.2011.06.010

Table 3.

Selecting more accurate predictions.

Method Q2 P[D] S[D] P[N] S[N] C AUC PM
SeqProf 0.64 0.66 0.58 0.63 0.70 0.28 0.70 100
F-Cancer 0.92 0.92 0.93 0.93 0.92 0.85 0.97 100
SPF-Cancer 0.93 0.93 0.93 0.93 0.93 0.86 0.98 100
Consensus 0.96 0.96 0.95 0.96 0.97 0.92 0.99 62
NotConsensus 0.88 0.90 0.90 0.87 0.87 0.76 0.95 38

Overall accuracy (Q2), positive predictive value (P) Sensitivity, Correlation coefficient (C) and area under the ROC curve (AUC) are defined in Methods section. D (Disease) and N (Neutral) are referred to cancer-causing and neutral variants. PM is the percentage predicted variants of CNO dataset.