BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks-Reference-Cited by-同舟云学术

BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks

Published:2018-11-05 Issue:11 Volume:35 Page:1893-1900
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Zheng Ruiqing¹,Li Min¹,Chen Xiang¹,Wu Fang-Xiang¹²,Pan Yi¹³,Wang Jianxin¹

Affiliation:

1. School of Information Science and Engineering, Central South University, Changsha, China

2. Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, Canada

3. Department of Computer Science, Georgia State University, Atlanta, GA, USA

Funder

National Natural Science Foundation of China

111 Project

Fundamental Research Funds for the Central Universities of Central South University

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/35/11/1893/28759224/bty908.pdf

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4. A review on the computational approaches for gene regulatory network construction;Chai;Comput. Biol. Med.,2014

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