Automated identification of pathways from quantitative genetic interaction data
نویسندگان
چکیده
منابع مشابه
Automated identification of pathways from quantitative genetic interaction data
High-throughput quantitative genetic interaction (GI) measurements provide detailed information regarding the structure of the underlying biological pathways by reporting on functional dependencies between genes. However, the analytical tools for fully exploiting such information lag behind the ability to collect these data. We present a novel Bayesian learning method that uses quantitative phe...
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John R. Koza Biomedical Informatics, Department of Medicine Department of Electrical Engineering Stanford University, Stanford, California [email protected] William Mydlowec Genetic Programming Inc., Los Altos, California [email protected] Guido Lanza Genetic Programming Inc., Los Altos, California [email protected] Jessen Yu Genetic Programming Inc., Los Altos, California [email protected]...
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ژورنال
عنوان ژورنال: Molecular Systems Biology
سال: 2010
ISSN: 1744-4292,1744-4292
DOI: 10.1038/msb.2010.27