Publication for ChloPred
Identifies subchloroplast location of proteins based on the primary sequence information. ChloPred is a support vector machine (SVM)-based method to predict the locations of chloroplast proteins. This method achieves an anticipated overall of 88.03per cent in the jack-knife test on a very rigorous and objective dataset, which demonstrates the capability of binomial distribution technique in the process of feature selection.
ChloPred funding source(s)
Key Laboratory for NeuroInformation of Ministry of Education, Center of Bioinformatics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; Center for Genomics and Computational Biology, Department of Physics, College of Sciences Hebei United University, Tangshan, China; School of Information and Engineering, Sichuan Agricultural University, Yaan, China
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