Granular support vector machines with association rules mining for protein homology prediction
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摘要
Objective:Protein homology prediction between protein sequences is one of critical problems in computational biology. Such a complex classification problem is common in medical or biological information processing applications. How to build a model with superior generalization capability from training samples is an essential issue for mining knowledge to accurately predict/classify unseen new samples and to effectively support human experts to make correct decisions.
论文关键词：Protein homology prediction,Binary classification,Granular computing,Granular support vector machines,Association rules
论文评审过程：Received 30 October 2004, Revised 14 January 2005, Accepted 22 February 2005, Available online 15 July 2005.
论文官网地址：https://doi.org/10.1016/j.artmed.2005.02.003
