MultiMiTar
Target Prediction
MultiMiTar is a Support Vector Machine (SVM) based classifier integrated with a multiobjective metaheuristic based feature selection technique. The robust performance of the proposed method is mainly the result of using high quality negative examples and selection of biologically relevant miRNA-targeting site context specific features. The features are selected by using a novel feature selection technique AMOSA-SVM, that integrates the multi objective optimization technique Archived Multi-Objective Simulated Annealing (AMOSA) and SVM.
Homepage: Link
Last Software Update: Sept. 15, 2011
Publication Date: Sept. 15, 2011
Citations: 19 [via Pubmed]
Organism Specific:
Reference Genome Needed:
Online/Local:
/
Installation/User Level: intermediate
User Adjustability:
User support:
Precomputed Target Results Available For Download:
(human)
Performance : MCC: 0.583, ACA: 0.8, sensitivity: 0.868
License: free for academic use olny