Allows branchpoint (BP) prediction. LREM is an ensemble of learning scheme that integrates different features and different classifiers to build BP prediction models. The method can predict TNA BPs as well as other types of BPs. It was tested on a benchmark dataset, using 5-fold cross-validation (5CV). This approach employs nonlinear relationship to proceed and is able to return satisfying results for the branchpoint prediction tasks.
School of Computer, Wuhan University, Wuhan, China; School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA; Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA, USA
LREM funding source(s)
Supported by the National Natural Science Foundation of China (61772381, 61572368) and the Fundamental Research Funds for the Central Universities (2042017kf0219).