Network-Induced Classification Kernels for Gene Expression Profile Analysis
نویسندگان
چکیده
منابع مشابه
Network-Induced Classification Kernels for Gene Expression Profile Analysis
Computational classification of gene expression profiles into distinct disease phenotypes has been highly successful to date. Still, robustness, accuracy, and biological interpretation of the results have been limited, and it was suggested that use of protein interaction information jointly with the expression profiles can improve the results. Here, we study three aspects of this problem. First...
متن کاملNetwork-Induced Classi cation Kernels for Gene Expression Pro le Analysis
Computational classi cation of gene expression pro les into distinct disease phenotypes has been highly successful to date. Still, robustness, accuracy and biological interpretation of the results have been limited, and it was suggested that use of protein interaction information jointly with the expression pro les can improve the results. Here, we study three aspects of this problem. First, we...
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ژورنال
عنوان ژورنال: Journal of Computational Biology
سال: 2012
ISSN: 1066-5277,1557-8666
DOI: 10.1089/cmb.2012.0065