Tuneable resolution as a systems biology approach for multi-scale, multi-compartment computational models

Wiley Interdisciplinary Reviews: Systems Biology and Medicine

Volumn 6, Issue 4, 2014, Pages 289-309

  Kirschner, Denise E ^a   Hunt, C Anthony ^b   Marino, Simeone ^a   Fallahi Sichani, Mohammad ^c   Linderman, Jennifer J ^d  

^a UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

^d UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CYTOKINE; IMMUNOGLOBULIN ENHANCER BINDING PROTEIN; TUMOR NECROSIS FACTOR ALPHA; TUMOR NECROSIS FACTOR RECEPTOR;

ANTIGEN PRESENTING CELL; APOPTOSIS; BIOLOGICAL PHENOMENA AND FUNCTIONS CONCERNING THE ENTIRE ORGANISM; HUMAN; IMMUNE RESPONSE; LUNG GRANULOMA; MACROPHAGE ACTIVATION; MEDICAL RESEARCH; MYCOBACTERIUM TUBERCULOSIS; NONHUMAN; REVIEW; SENSITIVITY ANALYSIS; SIGNAL TRANSDUCTION; SYSTEMS BIOLOGY; TUBERCULOSIS; ALGORITHM; ANIMAL; BIOLOGICAL MODEL; BIOLOGY; COMMUNICABLE DISEASE; COMPUTER SIMULATION; IMMUNE SYSTEM; METABOLISM; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES;

ALGORITHMS; ANIMALS; COMMUNICABLE DISEASES; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; CYTOKINES; HUMANS; IMMUNE SYSTEM; MODELS, BIOLOGICAL; MYCOBACTERIUM TUBERCULOSIS; SYSTEMS BIOLOGY; TUBERCULOSIS;

EID: 84902658640     PISSN: 19395094     EISSN: 1939005X     Source Type: Journal    
DOI: 10.1002/wsbm.1270     Document Type: Review

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