Nonclassically secreted proteins (NCSPs) are proteins that are located in the extracellular environment although the lack of known signal peptides or secretion motifs. In this work, a new computational predictor was developed for NCSP prediction of gram-positive bacteria. The subset-specific optimal feature combination process was adopted to characterize the original data from different aspects, and all subdataset based models were integrated into a unified model NonClasGP-Pred, which achieved an excellent performance and outperformed state-of-the-art available toolkits.
Go to Use it: NonClasGP_Pred
Chao Wang et al., NonClasGP-Pred: Robust and efficient prediction of non-classically secreted proteins by integrating subset-specific optimal models of imbalanced data (submitted)
Wang Chao: email@example.com
Personal Homepage: http://lab.malab.cn/~wangchao/