Prediction of protein structural class with Rough Sets

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. Results: In this study, self-consistency and jackknife tests on the datasets constructed by G.P. Zhou (Journal of Protein Chemistry, 1998, 17: 729

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Youfang Cao, Shi Liu, Lida Zhang, Jie Qin, Jiang Wang, Kexuan Tang
• Keywords: BMCBI 2006, Decision System, Protein Structural Classes, Rough Sets