《Table 3Comparison be twe e n HCRF and pre vious me thods》

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《Prediction of Potential Disease-Associated MicroRNAs Based on Hidden Conditional Random Field》

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The numbers denote the AUC of each method（HCRF，RWRM DA，miRPD and Jiang's method）performing on the corresponding datasets（GSE68951，GSE58606 and GSE41655）.

As far as w e know，there is no study making use of miRNA expression profiling to predict potential disease-associated miRNAs prior to this.Because HCRF is inspired byHidden M arkovM odel（HMM）[34]and CRF，the superiorities of HCRF modelcomparingw ithHM MandCRFare investigated.The AUCresults on GSE68951，GSE58606 and GSE41655 are show n in Table 2.As can be seen，HCRF outperforms other models significantly，w hich demonstrate the ability of HCRF in detecting the variation trend among a series of miRNA expression values.