BiomeNet: A Bayesian Model for Inference of Metabolic Divergence among Microbial Communities

Mahdi Shafiei; Katherine A. Dunn; Hugh Chipman; Hong Gu; Joseph P. Bielawski

doi:10.1371/journal.pcbi.1003918

BiomeNet: A Bayesian Model for Inference of Metabolic Divergence among Microbial Communities

Mahdi Shafiei, Katherine A. Dunn, Hugh Chipman, Hong Gu, Joseph P. Bielawski

Mathematics

科研成果: 期刊稿件 › 文章 › 同行评审

25 引用（Scopus）

源语言	英语
期刊	PLoS Computational Biology
卷	10
期	11
DOI	https://doi.org/10.1371/journal.pcbi.1003918
出版状态	已出版 - 11月 1 2014

!!!ASJC Scopus Subject Areas

生态学、进化论、行为学与系统学
建模与模拟
生态学
分子生物学
遗传学
细胞和分子神经科学
计算理论与数学

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

访问文件

10.1371/journal.pcbi.1003918

其它文件与链接

引用此

@article{9fc2787a641a4165b115046efbe6828b,

title = "BiomeNet: A Bayesian Model for Inference of Metabolic Divergence among Microbial Communities",

author = "Mahdi Shafiei and Dunn, {Katherine A.} and Hugh Chipman and Hong Gu and Bielawski, {Joseph P.}",

note = "Publisher Copyright: {\textcopyright} 2014 Shafiei et al.",

year = "2014",

month = nov,

day = "1",

doi = "10.1371/journal.pcbi.1003918",

language = "English",

volume = "10",

journal = "PLoS Computational Biology",

issn = "1553-734X",

publisher = "Public Library of Science",

number = "11",

}

TY - JOUR

T1 - BiomeNet

T2 - A Bayesian Model for Inference of Metabolic Divergence among Microbial Communities

AU - Shafiei, Mahdi

AU - Dunn, Katherine A.

AU - Chipman, Hugh

AU - Gu, Hong

AU - Bielawski, Joseph P.

PY - 2014/11/1

Y1 - 2014/11/1

UR - http://www.scopus.com/inward/record.url?scp=84912066103&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84912066103&partnerID=8YFLogxK

U2 - 10.1371/journal.pcbi.1003918

DO - 10.1371/journal.pcbi.1003918

M3 - Article

C2 - 25412107

AN - SCOPUS:84912066103

SN - 1553-734X

VL - 10

JO - PLoS Computational Biology

JF - PLoS Computational Biology

IS - 11

ER -

BiomeNet: A Bayesian Model for Inference of Metabolic Divergence among Microbial Communities

!!!ASJC Scopus Subject Areas

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此