Predicting protein–RNA interaction amino acids using random forest based on submodularity subset selection-Reference-Cited by-同舟云学术

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Predicting protein–RNA interaction amino acids using random forest based on submodularity subset selection

Published:2014-12 Issue: Volume:53 Page:324-330
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Pan Xiaoyong,Zhu Lin,Fan Yong-Xian,Yan Junchi

Funder

Faculty of Health and Medical Sciences, University of Copenhagen

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference47 articles.

1. Structure-based analysis of protein–RNA interactions using the program ENTANGLE;Allers;J. Mol. Biol.,2001

2. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.;Altschul;Nucl. Acids Res.,1997

3. The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000;Bairoch;Nucl. Acids Res.,2000

4. MicroRNAs: target recognition and regulatory functions;Bartel;Cell,2009

5. Random forests;Breiman;Mach. Learning,2001

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