Machine Learning Bio-molecular Interactions from Temporal Logic Properties
With the advent of formal languages for modeling bio-molecu-lar interaction systems, the design of automated reasoning tools to assist the biologist becomes possible. The biochemical abstract machine BIOCHAM software environment offers a rule-based language to model bio-molecular interactions and an original temporal logic based language to formalize the biological properties of the system. Building on these two formal languages, machine learning techniques can be used to infer new molecular interaction rules from temporal properties […]
Fri, Apr 1, 2005