Protein secondary structure prediction based on the fuzzy support vector machine with the hyperplane optimization-Reference-Cited by-同舟云学术

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Protein secondary structure prediction based on the fuzzy support vector machine with the hyperplane optimization

Published:2018-02 Issue: Volume:642 Page:74-83
ISSN:0378-1119
Container-title:Gene
language:en
Short-container-title:Gene

Author:

Xie Shangxin,Li Zhong,Hu Hailong

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation

Zhejiang Province Key Science and Technology Innovation Team Project

Zhejiang Sci-Tech University

Publisher

Elsevier BV

Subject

Genetics,General Medicine

Reference32 articles.

1. Gapped blast and psi-blast: a new generation of protein database search programs;Altschul;Nucleic Acids Res.,1997

2. Fsvm-cil: fuzzy support vector machines for class imbalance learning;Batuwita;IEEE Trans. Fuzzy Syst.,2010

3. Mupred: a tool for bridging the gap between template based methods and sequence profile based methods for protein secondary structure prediction;Bondugula;Proteins,2007

4. Effect of simple ensemble methods on protein secondary structure prediction;Bouziane;Soft. Comput.,2015

5. On over-fitting in model selection and subsequent selection bias in performance evaluation;Cawley;J. Mach. Learn. Res.,2010

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