Multi-class and multi-scale models of complex biological phenomena

Current Opinion in Biotechnology

Volumn 39, Issue , 2016, Pages 167-173

  Yu, Jessica S ^a   Bagheri, Neda ^a  

^a Northwestern University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS;

AGENT-BASED MODEL; BIOLOGICAL COMPLEXITY; BIOLOGICAL PHENOMENA; COMPUTATIONAL MODEL; DISEASE FORECASTING; FLEXIBLE FRAMEWORK; MULTI-CLASS MODELS; PROBLEM STATEMENT;

AUTONOMOUS AGENTS;

AGENT BASED MODEL; BIOLOGICAL FUNCTIONS; CELL FUNCTION; CELL POPULATION; COMPUTATIONAL MODELING; DATA PROCESSING; EVOLUTION; MATHEMATICAL MODEL; MEASUREMENT REPEATABILITY; MODEL; MOLECULAR BIOLOGY; MOLECULAR DYNAMICS; MONTE CARLO METHOD; POPULATION SIZE; PRIORITY JOURNAL; REVIEW; ANIMAL; CELLULAR, SUBCELLULAR AND MOLECULAR BIOLOGICAL PHENOMENA AND FUNCTIONS; COMPUTER SIMULATION; HUMAN; THEORETICAL MODEL;

ANIMALS; BIOLOGICAL PHENOMENA; COMPUTER SIMULATION; HUMANS; MODELS, THEORETICAL;

EID: 84963957174     PISSN: 09581669     EISSN: 18790429     Source Type: Journal    
DOI: 10.1016/j.copbio.2016.04.002     Document Type: Review

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