Prediction of protein structural class with Rough Sets |
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| Authors: | Youfang Cao Shi Liu Lida Zhang Jie Qin Jiang Wang Kexuan Tang |
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| Affiliation: | (1) Plant Biotechnology Research Center, Fudan-SJTU-Nottingham Plant Biotechnology R&D Center, School of Agriculture and Biology, Institute of Systems Biology, Shanghai Jiao Tong University, Shanghai, 200030, China;(2) State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan-SJTU-Nottingham Plant Biotechnology R&D Center, Morgan-Tan International Center for Life Sciences, Fudan University, Shanghai, 200433, China |
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| Abstract: | Background A new method for the prediction of protein structural classes is constructed based on Rough Sets algorithm, which is a rule-based data mining method. Amino acid compositions and 8 physicochemical properties data are used as conditional attributes for the construction of decision system. After reducing the decision system, decision rules are generated, which can be used to classify new objects. |
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