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Title: Examining the controllability of sepsis using genetic algorithms on an agent-based model of systemic inflammation

Authors:
ORCiD logo; ORCiD logo;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1421309
Grant/Contract Number:  
B616283
Resource Type:
Journal Article: Published Article
Journal Name:
PLoS Computational Biology (Online)
Additional Journal Information:
Journal Name: PLoS Computational Biology (Online); Journal Volume: 14; Journal Issue: 2; Related Information: CHORUS Timestamp: 2018-02-15 13:27:31; Journal ID: ISSN 1553-7358
Publisher:
Public Library of Science (PLoS)
Country of Publication:
United States
Language:
English

Citation Formats

Cockrell, Robert Chase, An, Gary, and Hunt, ed., C. Anthony. Examining the controllability of sepsis using genetic algorithms on an agent-based model of systemic inflammation. United States: N. p., 2018. Web. doi:10.1371/journal.pcbi.1005876.
Cockrell, Robert Chase, An, Gary, & Hunt, ed., C. Anthony. Examining the controllability of sepsis using genetic algorithms on an agent-based model of systemic inflammation. United States. doi:10.1371/journal.pcbi.1005876.
Cockrell, Robert Chase, An, Gary, and Hunt, ed., C. Anthony. Thu . "Examining the controllability of sepsis using genetic algorithms on an agent-based model of systemic inflammation". United States. doi:10.1371/journal.pcbi.1005876.
@article{osti_1421309,
title = {Examining the controllability of sepsis using genetic algorithms on an agent-based model of systemic inflammation},
author = {Cockrell, Robert Chase and An, Gary and Hunt, ed., C. Anthony},
abstractNote = {},
doi = {10.1371/journal.pcbi.1005876},
journal = {PLoS Computational Biology (Online)},
number = 2,
volume = 14,
place = {United States},
year = {Thu Feb 15 00:00:00 EST 2018},
month = {Thu Feb 15 00:00:00 EST 2018}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1371/journal.pcbi.1005876

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