Gene selection heuristic algorithm for nutrigenomics studies
نویسندگان
چکیده
منابع مشابه
Gene selection heuristic algorithm for nutrigenomics studies.
Large datasets from -omics studies need to be deeply investigated. The aim of this paper is to provide a new method (LEM method) for the search of transcriptome and metabolome connections. The heuristic algorithm here described extends the classical canonical correlation analysis (CCA) to a high number of variables (without regularization) and combines well-conditioning and fast-computing in "R...
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ژورنال
عنوان ژورنال: Physiological Genomics
سال: 2013
ISSN: 1094-8341,1531-2267
DOI: 10.1152/physiolgenomics.00139.2012