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Quantifying microbial interactions based on compositional data using an iterative approach for solving generalized Lotka-Volterra equations.

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Title: Quantifying microbial interactions based on compositional data using an iterative approach for solving generalized Lotka-Volterra equations.
Authors: Huang, Yue1 (AUTHOR), Tang, Tianqi2 (AUTHOR), Dai, Xiaowu3 (AUTHOR), Sun, Fengzhu1 (AUTHOR) fsun@usc.edu
Source: PLoS Computational Biology. 11/7/2025, Vol. 21 Issue 11, p1-20. 20p.
Database: Academic Search Ultimate
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  Data: Quantifying microbial interactions based on compositional data using an iterative approach for solving generalized Lotka-Volterra equations.
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  Data: <searchLink fieldCode="AR" term="%22Huang%2C+Yue%22">Huang, Yue</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tang%2C+Tianqi%22">Tang, Tianqi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dai%2C+Xiaowu%22">Dai, Xiaowu</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Fengzhu%22">Sun, Fengzhu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fsun@usc.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 11/7/2025, Vol. 21 Issue 11, p1-20. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189190475
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        Value: 10.1371/journal.pcbi.1013691
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        Text: English
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            NameFull: Tang, Tianqi
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              Text: 11/7/2025
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