ncRNA_loc Web Service for identifying RNA-associated subcellular localizations

A web servicer for identifying RNA-associated subcellular localizations. We extract multi-label classification datasets about RNA-associated subcellular localizations on four various of RNAs, and then construct subcellular localization datasets on four RNA categories. In order to study Homo sapiens, we further establish human RNA subcellular localization datasets. Furthermore, we utilize different nucleotide property composition models to extract effective features to adequately represent the important information of nucleotide sequences. Moreover, we fuse the multivariate information through multiple kernel learning based on Hilbert-Schmidt independence criterion. The optimal combined kernel can be put into an integration support vector machine model for identifying multi-label RNA subcellular localizations.