skip to main content

DOE PAGESDOE PAGES

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

Authors:
ORCiD logo ; ORCiD logo ;
Publication Date:
Grant/Contract Number:
B616283
Type:
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)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
OSTI Identifier:
1421309

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., 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. 2018. "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 = {2018},
month = {2}
}