title: A kernel-based model to predict interaction between methanotrophic and heterotrophic bacteria.
authors.affiliation: KERMIT, Ghent University, Coupure links 653, 9000 Gent, Belgium.
authors.forename: M
authors.initials: M
authors.lastname: Stock
authors.forename: S
authors.initials: S
authors.lastname: Hoefman
authors.forename: F M
authors.initials: FM
authors.lastname: Kerckhof
authors.forename: N
authors.initials: N
authors.lastname: Boon
authors.forename: P
authors.initials: P
authors.lastname: De Vos
authors.forename: K
authors.initials: K
authors.lastname: Heylen
authors.forename: B
authors.initials: B
authors.lastname: De Baets
authors.forename: W
authors.initials: W
authors.lastname: Waegeman
mesh_terms: D001185:Artificial Intelligence; D001419:Bacteria / Q000145:classification / Q000254:growth & development* / Q000378:metabolism*; D057225:Data Mining; D052836:Heterotrophic Processes; D008697:Methane / Q000378:metabolism; D056265:Microbial Interactions; D008954:Models, Biological
chemical_list: D008697:Methane