Identifying Responsive Modules by Mathematical Programming: An Application to Budding Yeast Cell Cycle

scientific article published on July 25, 2012

Identifying Responsive Modules by Mathematical Programming: An Application to Budding Yeast Cell Cycle is …
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scholarly articleQ13442814

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P819ADS bibcode2012PLoSO...741854W
P356DOI10.1371/JOURNAL.PONE.0041854
P8608Fatcat IDrelease_wxjhctyu5fed7ex4dpxnvxxgse
P953full work available at URLhttp://dx.plos.org/10.1371/journal.pone.0041854
https://europepmc.org/articles/PMC3405030
https://europepmc.org/articles/PMC3405030?pdf=render
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0041854&type=printable
P932PMC publication ID3405030
P698PubMed publication ID22848637
P5875ResearchGate publication ID230590255

P2093author name stringLuonan Chen
Zhengrong Liu
Zhi-Ping Liu
Guanying Piao
Jiarui Wu
Yiqing Yan
Zhenshu Wen
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P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue7
P407language of work or nameEnglishQ1860
P921main subjectcell cycleQ188941
modelling biological systemsQ4299308
P304page(s)e41854
P577publication date2012-07-25
P1433published inPLOS OneQ564954
P1476titleIdentifying responsive modules by mathematical programming: an application to budding yeast cell cycle
Identifying Responsive Modules by Mathematical Programming: An Application to Budding Yeast Cell Cycle
P478volume7

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cites work (P2860)
Q37039848An integrated approach to identify causal network modules of complex diseases with application to colorectal cancer
Q94592117Genetic interactions derived from high-throughput phenotyping of 6589 yeast cell cycle mutants
Q47125037Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors
Q30841031MCentridFS: a tool for identifying module biomarkers for multi-phenotypes from high-throughput data
Q36168344Quantitative assessment of gene expression network module-validation methods

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