Development of a sampling-based global sensitivity analysis workflow for multiscale computational cancer models

IET Systems Biology

Volumn 8, Issue 5, 2014, Pages 191-197

  Wang, Zhihui ^a   Deisboeck, Thomas S ^b,e   Cristini, Vittorio ^a,c,d  

^a UNIVERSITY OF NEW MEXICO SCHOOL OF MEDICINE   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c MSC01 1070   (United States)

^d KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

^e ThinkMotu LLC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; MONTE CARLO METHODS;

COMPUTATIONAL INTENSITY; EPIDERMAL GROWTH FACTOR RECEPTORS; EXTRACELLULAR SIGNAL-REGULATED KINASE; GLOBAL SENSITIVITY ANALYSIS; INPUT PARAMETER; MULTIPLE METHODS; MULTISCALE CANCER MODELING; RESAMPLING METHOD;

SENSITIVITY ANALYSIS;

ALGORITHM; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; LUNG TUMOR; METABOLISM; NON SMALL CELL LUNG CANCER; PHYSIOLOGY; PROCEDURES; SIGNAL TRANSDUCTION; STATISTICAL MODEL; SYSTEMS BIOLOGY;

ALGORITHMS; CARCINOMA, NON-SMALL-CELL LUNG; COMPUTER SIMULATION; HUMANS; LUNG NEOPLASMS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; SIGNAL TRANSDUCTION; SYSTEMS BIOLOGY;

EID: 84907700291     PISSN: 17518849     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-syb.2013.0026     Document Type: Article

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