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个人信息Personal Information
副教授
博士生导师
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:软件学院、国际信息与软件学院
办公地点:开发区校区综合楼317
电子邮箱:BoXu@dlut.edu.cn
Classifying Protein Complexes from Candidate Subgraphs using Fuzzy Machine Learning Model
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论文类型:会议论文
发表时间:2012-10-04
收录刊物:EI、CPCI-S、Scopus
页面范围:640-647
关键字:Protein complexes; Naive Bayes; Machine Learning
摘要:Many computational methods have been applied to identify protein complexes from experimentally obtained protein-protein interaction (PPI) networks. Because of the presence of unreliable interactions in PPI networks, multi-functionality of proteins, and complex connectivity of the PPI network, the task is very challenging. In this study, we tackle the presence of unreliable interactions in protein complex using Genetic-Algorithm Fuzzy Naive Bayes (GAFNB) which takes unreliability into consideration. Many existing methods can provide lots of candidate subgraphs. So we focused on how to classify the protein complexes from the subgraphs by considering the fuzzy attribute of PPI. We experimented with two datasets of size 10,371 and 986, each containing 493 positive protein complexes from MIPS and TAP-MS datasets. We compared the performance of GAFNB with Naive Bayes (NB). Results show that GAFNB performed better which indicates that a fuzzy model is more suitable when unreliability is present. It is necessary to consider the unreliability in identifying protein complexes.