Predicting Protein Subcellular Localization Using the Algorithm of Diversity Finite Coefficient Combined with Artificial Neural Network

摘要：

　　Protein subcellulur localization is an important research field of bioinformatics.The subcellular localization of proteins classification problem is transformed into several two classification problems with error-correcting output codes.In this paper,we use the algorithm of the increment of diversity combined with artificial neural network to predict protein in SNL6 which has six subcelluur localizations.The prediction ability was evaluated by 5-jackknife cross-validation.Its predicted result is 81.3%.By com-paring its results with other methods,it indicates the new approach is feasible and effective.

关键词： subcellular localization feature extraction artificial neural networdl ECOC

作者: Zeyue Wu Yuehui Chen

作者单位: Department of Information Science and Engineering, University of Jinan Jinan, 250022, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 287-290

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）