Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer

PLoS ONE

Volumn 9, Issue 4, 2014, Pages

  Figueredo, Grazziela P ^a   Siebers, Peer Olaf ^a   Owen, Markus R ^a   Reps, Jenna ^a   Aickelin, Uwe ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

INTERLEUKIN 2; TRANSFORMING GROWTH FACTOR BETA;

AGENT BASED MODELING AND SIMULATION; ALGORITHM; ARTICLE; CANCER STAGING; CELL INTERACTION; CONTROLLED STUDY; DISEASE SIMULATION; EFFECTOR CELL; INTERMETHOD COMPARISON; MALIGNANT NEOPLASTIC DISEASE; MATHEMATICAL MODEL; ORDINARY DIFFERENTIAL EQUATION; STATISTICAL ANALYSIS; STOCHASTIC DIFFERENTIAL EQUATION; TUMOR CELL; TUMOR IMMUNITY; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER SIMULATION; HUMAN; METABOLISM; NEOPLASM; PATHOLOGY; REGRESSION ANALYSIS; STATISTICS;

ALGORITHMS; COMPUTER SIMULATION; HUMANS; INTERLEUKIN-2; MODELS, BIOLOGICAL; NEOPLASM STAGING; NEOPLASMS; REGRESSION ANALYSIS; STOCHASTIC PROCESSES; TRANSFORMING GROWTH FACTOR BETA;

EID: 84899698891     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0095150     Document Type: Article

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