DeepMVF-RBP: Deep Multi-view Fusion Representation Learning for RNA-binding Proteins Prediction

摘要

RNA-binding proteins (RBPs) are widely involved in various biologicalprocesses. Identification of RBPs from non-RBPs is of significance in the understanding of these processes. Although there are many computational methods for RBPs prediction, the predictive sensitivity of predictors remains unsatisfactory. In this paper, we develop a new approach, namely DeepMVF-RBP, which uses the physicochemical characteristics of amino acids to construct multi-view feature representation in conjunction with deep learning for RBPs prediction.