Predictability of gene ontology slim-terms from primary structure information in Embryophyta plant proteins-Reference-Cited by-同舟云学术

Predictability of gene ontology slim-terms from primary structure information in Embryophyta plant proteins

Published:2013-02-26 Issue:1 Volume:14 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Jaramillo-Garzón Jorge Alberto,Gallardo-Chacón Joan Josep,Castellanos-Domínguez César Germán,Perera-Lluna Alexandre

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/10.1186/1471-2105-14-68.pdf

Reference41 articles.

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3. Baldi P, Brunak S: Bioinformatics: the Machine Learning Approach. Cambridge: The MIT Press; 2001.

4. Zhao X, Chen L, Aihara K: Protein function prediction with high-throughput data. Amino Acids 2008,35(3):517-530. 10.1007/s00726-008-0077-y

5. Pandey G, Kumar V, Steinbach M: Computational approaches for protein function prediction: a survey. Twin Cities: Tech Rep, 06-028 Department of Computer Science and Engineering, University of Minnesota; 2006.

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