Machine learning reveals missing edges and putative interaction mechanisms in microbial ecosystem networks

mSystems

Volumn 3, Issue 5, 2018, Pages

  DiMucci, Demetrius ^a,b   Kon, Mark ^a,c   Segrè, Daniel ^a,b,c  

^a BOSTON UNIVERSITY   (United States)

^b Boston University   (United States)

^c USA   (United States)

Author keywords

Coculture experiments; Ecological networks; Flux balance analysis; Machine learning; Metabolic modeling; Microbial interactions; Microbiome; Random forests; Synthetic ecology; Systems biology

Indexed keywords

ARTICLE; BACTERIUM CULTURE; COCULTURE; COMMUNITY DYNAMICS; COMPUTER MODEL; ECOLOGY; ENVIRONMENTAL HEALTH; ESCHERICHIA COLI; GASTROINTESTINAL TRACT; HUMAN; MICROBIAL INTERACTION; NONHUMAN; PHENOTYPE; RANDOM FOREST; SOIL MICROFLORA; SYSTEMS BIOLOGY;

EID: 85064188785     PISSN: None     EISSN: 23795077     Source Type: Journal    
DOI: 10.1128/MSYSTEMS.00181-18     Document Type: Article

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