Computational simulations of the immune system for personalized medicine: State of the art and challenges

Current Pharmacogenomics and Personalized Medicine

Volumn 6, Issue 4, 2008, Pages 260-271

  Pappalardo, Francesco ^a   Zhang, Ping ^b   Halling Brown, Mark ^c   Basford, Kaye ^b   Scalia, Antonio ^a   Shepherd, Adrian ^c   Moss, David ^c   Motta, Santo ^a   Brusic, Vladimir ^b,d  

^a UNIVERSITY OF CATANIA   (Italy)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c UNIVERSITY OF LONDON   (United Kingdom)

^d DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

Computational modeling; Immune system simulation; ImmunoGrid; Pharmacogenomics applications; Pharmacogenomics in personalized medicine

Indexed keywords

HLA A ANTIGEN;

ADAPTIVE IMMUNITY; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; DATA MINING; HIDDEN MARKOV MODEL; HUMAN; HUMORAL IMMUNITY; IMMUNE RESPONSE; IMMUNE SYSTEM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NONHUMAN; PHARMACOGENOMICS; REVIEW; STATISTICAL MODEL; STRUCTURAL EQUATION MODELING; SUPPORT VECTOR MACHINE; THEORETICAL MODEL;

EID: 67649311850     PISSN: 18756921     EISSN: 18756913     Source Type: Journal    
DOI: 10.2174/187569208786733839     Document Type: Review

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