miRBoost
Novel miRNA/Precursor Prediction
An ensemble method for microRNA precursor clasification that uses a boosting technique with support vector machine components to deal with imbalanced training data. Classification is performed following a feature selection on 187 novel and existing features. miRBoost provides a good compromise between prediction efficiency and execution time.
Homepage: Link
Last Software Update: Nov. 20, 2013
Publication Date: March 20, 2015
Citations: 13 [via Pubmed]
Organism Specific:
Reference Genome Needed:
Online/Local:
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Installation/User Level: advanced
User Adjustability:
User support:
Precomputed Target Results Available For Download:
Performance : Sensitivity: 88%, Specificity: 91%