Using a Bayesian posterior density in the design of perturbation experiments for network reconstruction

Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05

Volumn 2005, Issue , 2005, Pages

  Almudevar, Anthony ^a   Salzman, Peter ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTICAL RESOLVING POWER; PERTURBATION TECHNIQUES; UNCERTAIN SYSTEMS;

BAYESIAN NETWORK MODELS; BAYESIAN POSTERIOR DENSITIES; GENE PERTURBATION; GENE REGULATORY NETWORKS;

GENETIC ENGINEERING;

EID: 33847187387     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/cibcb.2005.1594920     Document Type: Conference Paper

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