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Effective sample selection for classification of pre-miRNAs
2011
Genetics and Molecular Research
To solve the class imbalance problem in the classification of pre-miRNAs with the ab initio method, we developed a novel sample selection method according to the characteristics of pre-miRNAs. Real/ pseudo pre-miRNAs are clustered based on their stem similarity and their distribution in high dimensional sample space, respectively. The training samples are selected according to the sample density of each cluster. Experimental results are validated by the cross-validation and other testing
doi:10.4238/vol10-1gmr1054
pmid:21476196
fatcat:fh2r4u2ttfeh5hivb37w7wiini