GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank-Reference-Cited by-同舟云学术

GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank

Published:2018-03-07 Issue:14 Volume:34 Page:2465-2473
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

You Ronghui¹²,Zhang Zihan¹²,Xiong Yi³,Sun Fengzhu²⁴,Mamitsuka Hiroshi⁵⁶,Zhu Shanfeng¹²

Affiliation:

1. School of Computer Science and Shanghai Key Lab of Intelligent Information Processing

2. Center for Computational System Biology, ISTBI, Fudan University, Shanghai, China

3. Department of Bioinformatics and Biostatistics, Shanghai Jiaotong University, Shanghai, China

4. Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, USA

5. Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto Prefecture, Japan

6. Department of Computer Science, Aalto University, Helsinki, Finland

Funder

National Natural Science Foundation of China

MEXT KAKENHI

JST

ACCEL

FiDiPro, Academy of Finland: AIPSE programme

Open Fund of Shanghai Key Laboratory of Intelligent Information Processing

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/14/2465/25138245/bty130.pdf

Reference33 articles.

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

2. Gene ontology: tool for the unification of biology;Ashburner;Nat. Genet,2000

3. UniProtKB/Swiss-Prot, the Manually Annotated Section of the UniProt KnowledgeBase: How to Use the Entry View

4. Information-theoretic evaluation of predicted ontological annotations;Clark;Bioinformatics,2013

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