Quantifying the notions of canalizing and master genes in a gene regulatory network—a Boolean network modeling perspective-Reference-Cited by-同舟云学术

Quantifying the notions of canalizing and master genes in a gene regulatory network—a Boolean network modeling perspective

Published:2018-07-25 Issue:4 Volume:35 Page:643-649
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Kim Eunji¹,Ivanov Ivan²,Dougherty Edward R¹

Affiliation:

1. Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA

2. Department of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX, USA

Funder

National Institutes of Health

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/35/4/643/27838604/bty665.pdf

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4. Statistical detection of intrinsically multivariate predictive genes;Chen;IEEE/ACM Trans. Comput. Biol. Bioinfo,2015

5. Human tumor suppressor p53 and DNA viruses;Collot-Teixeira;Reviews Med. Virol,2004

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