Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree-Reference-Cited by-同舟云学术

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Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree

Published:2017-08-08 Issue:8 Volume:12 Page:e0181426
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Zhou Chang,Yu Hua,Ding Yijie,Guo Fei,Gong Xiu-Jun

Funder

National Natural Science Foundation of China

National High Technology Research and Development Program of China

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference36 articles.

1. Gene function prediction using labeled and unlabeled data;X. Zhao;BMC Bioinformatics,2008

2. Global analysis of protein activities using proteome chips;H. Zhu;Science,2001

3. Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry;Y Ho;Nature,2002

4. Functional organization of the yeast proteome by systematic analysis of protein complexes;AC Gavin;Nature,2002

5. Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data;ZH You;Bioinformatics,2010

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