Using position specific scoring matrix and auto covariance to predict protein subnuclear localization
نویسندگان
چکیده
منابع مشابه
Using position specific scoring matrix and auto covariance to predict protein subnuclear localization
The knowledge of subnuclear localization in eukaryotic cells is indispensable for understanding the biological function of nucleus, genome regulation and drug discovery. In this study, a new feature representation was proposed by combining position specific scoring matrix (PSSM) and auto covariance (AC). The AC variables describe the neighboring effect between two amino acids, so that they inco...
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Department of Computer Science, Graduate School of Science and Engineering, Waseda University, 17 kikui-cho, Shinjuku-ku, Tokyo, 162-0044, Japan Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology, Aomi-Frontier 17F, 2-43 Aomi, Koto-ku, Tokyo, 135-0064, Japan 3 Pharma Design inc., Haseko Hatchobori Build, 2-19-8 Hatchobori, Chuo-ku, Tokyo, 104...
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ژورنال
عنوان ژورنال: Journal of Biomedical Science and Engineering
سال: 2009
ISSN: 1937-6871,1937-688X
DOI: 10.4236/jbise.2009.21009