A framework for designing and analyzing binary decision-making strategies in cellular systems.

Integrative biology : quantitative biosciences from nano to macro

Volumn 4, Issue 3, 2012, Pages 310-317

  Porter, Joshua R ^a   Andrews, Burton W ^b   Iglesias, Pablo A ^b  

^a Johns Hopkins University   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

APOPTOSIS; ARTICLE; BIOLOGICAL MODEL; CELL FUNCTION; COMPUTER SIMULATION; DECISION MAKING; DECISION SUPPORT SYSTEM; INFORMATION SCIENCE; PHYSIOLOGY; STATISTICS; SYSTEMS BIOLOGY;

APOPTOSIS; CELL PHYSIOLOGICAL PHENOMENA; COMPUTER SIMULATION; DECISION MAKING; DECISION SUPPORT TECHNIQUES; INFORMATION THEORY; MODELS, BIOLOGICAL; STOCHASTIC PROCESSES; SYSTEMS BIOLOGY;

EID: 84863580661     PISSN: None     EISSN: 17579708     Source Type: Journal    
DOI: 10.1039/c2ib00114d     Document Type: Article

References (0)