Heterogeneous Ensemble Classification for Pre-miRNA with Discriminative Features

A heterogeneous ensemble algorithm which is the voting of multi-expert classifiers, SVM, kNN, and RF, in the task of pre-miRNA classification. Our model is trained on both human and plant pre-miRNA data and utilize robustness derivative features which has shown to be well distinquishing both plant and animal pre-miRNA hairpins from other non pre-miRNA hairpin-forming sequences.

Supplementary data:

Download: Sourcecode , readme.txt

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HeteroMirPred Team