title: A cell simulator platform: the cell collective.
abstract: Diseases are often a result of multiple malfunctions in complex, nonlinear biological/biochemical networks. As such, these processes are far more complicated to understand because they tend to give rise to functions that are emergent in nature, i.e., higher-level (mal)functions that are more than the sum of their parts. Systems biology provides a new approach to understanding biological systems and diseases from a holistic perspective.
authors.affiliation: Department of Mathematics, University of Nebraska at Omaha, Omaha, Nebraska, USA. thelikar@unomaha.edu
authors.forename: T
authors.initials: T
authors.lastname: Helikar
authors.forename: B
authors.initials: B
authors.lastname: Kowal
authors.forename: J A
authors.initials: JA
authors.lastname: Rogers
mesh_terms: D002477:Cells / Q000378:metabolism*; D063045:Crowdsourcing / Q000379:methods; D006694:Holistic Health; D006801:Humans; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D049490:Systems Biology / Q000379:methods*
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