Using Recursive Feature Selection with Random Forest to Improve Protein Structural Class Prediction for Low-Similarity Sequences
Author:
Affiliation:
1. College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China
2. Qixin School, Zhejiang Sci-Tech University, Hangzhou 310018, China
3. College of Sciences, Hangzhou Dianzi University, Hangzhou 310018, China
Abstract
Funder
Natural Science Foundation of Zhejiang Province
Publisher
Hindawi Limited
Subject
Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine
Link
http://downloads.hindawi.com/journals/cmmm/2021/5529389.pdf
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5. SCOP: A structural classification of proteins database for the investigation of sequences and structures
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