Improving protein fold recognition by random forest
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology
Link
http://link.springer.com/content/pdf/10.1186/1471-2105-15-S11-S14.pdf
Reference51 articles.
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2. Bairoch A, Bougueleret L, Altairac S, Amendolia V, Auchincloss A, Puy GA, Axelsen K, Baratin D, Blatter M, Boeckmann B: The universal protein resource (UniProt). Nucleic Acids Res. 2008, 36: D190-D195. 10.1093/nar/gkn141.
3. Cheng J: A Multi-Template Combination Algorithm for Protein Comparative Modeling. BMC Structural Biology. 2008, 8: 18-10.1186/1472-6807-8-18.
4. Jones DT, Taylort WR, Thornton JM: A new approach to protein fold recognition. Nature. 1992, 358: 86-89. 10.1038/358086a0.
5. Cheng J, Baldi P: A Machine Learning Information Retrieval Approach to Protein Fold Recognition. Bioinformatics. 2006, 22: 1456-1463. 10.1093/bioinformatics/btl102.
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