hMuLab: a Biomedical Hybrid MUlti-LABel Classifier Based on Multiple Linear Regression

	hMuLab: a Biomedical Hybrid MUlti-LABel Classifier Based on Multiple Linear Regression
	Pu Wang; Ruiquan Ge; Xuan Xiao; Manli Zhou; Fengfeng Zhou
刊名	IEEE-ACM Transactions on Computational Biology and Bioinformatics
	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.
URL标识	查看原文
语种	英语
WOS记录号	WOS:000418101500018
内容类型	期刊论文
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).