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. |
URL标识 | 查看原文 |
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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