中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
hMuLab: a Biomedical Hybrid MUlti-LABel Classifier Based on Multiple Linear Regression

文献类型:期刊论文

作者Pu Wang; Ruiquan Ge; Xuan Xiao; Manli Zhou; Fengfeng Zhou
刊名IEEE-ACM Transactions on Computational Biology and Bioinformatics
出版日期2017
文献子类期刊论文
英文摘要Many biomedical classification problems are multi-label by nature, e.g. a gene involved in a variety of functions and a patient with multiple diseases. The majority of existing classification algorithms assumes each sample with only one class label, and the multi-label classification problem remains to be a challenge for biomedical researchers. This study proposes a novel multi-label learning algorithm, hMuLab, by integrating both feature-based and neighbor-based similarity scores. The multiple linear regression modeling techniques make hMuLab capable to produce multiple label assignments for a query sample. The comparison results over six commonly-used multi-label performance measurements suggest that hMuLab performs accurately and stably for the biomedical datasets, and may serve as a complement to the existing literature.
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语种英语
WOS记录号WOS:000418101500018
源URL[http://ir.siat.ac.cn:8080/handle/172644/12619]  
专题深圳先进技术研究院_数字所
作者单位IEEE-ACM Transactions on Computational Biology and Bioinformatics
推荐引用方式
GB/T 7714
Pu Wang,Ruiquan Ge,Xuan Xiao,et al. hMuLab: a Biomedical Hybrid MUlti-LABel Classifier Based on Multiple Linear Regression[J]. IEEE-ACM Transactions on Computational Biology and Bioinformatics,2017.
APA Pu Wang,Ruiquan Ge,Xuan Xiao,Manli Zhou,&Fengfeng Zhou.(2017).hMuLab: a Biomedical Hybrid MUlti-LABel Classifier Based on Multiple Linear Regression.IEEE-ACM Transactions on Computational Biology and Bioinformatics.
MLA Pu Wang,et al."hMuLab: a Biomedical Hybrid MUlti-LABel Classifier Based on Multiple Linear Regression".IEEE-ACM Transactions on Computational Biology and Bioinformatics (2017).

入库方式: OAI收割

来源:深圳先进技术研究院

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