Constraint Programming Based Biomarker Optimization

	Constraint Programming Based Biomarker Optimization
	Zhou Manli; Luo Youxi; Sun Guoquan; Mai Guoqin; Zhou Fengfeng
刊名	BioMed research international
	2015
英文摘要	Efficient and intuitive characterization of biological big data is becoming a major challenge for modern bio-OMIC based scientists. Interactive visualization and exploration of big data is proven to be one of the successful solutions. Most of the existing feature selection algorithms do not allow the interactive inputs from users in the optimizing process of feature selection. This study investigates this question as fixing a few user-input features in the finally selected feature subset and formulates these user-input features as constraints for a programming model. The proposed algorithm, fsCoP (feature selection based on constrained programming), performs well similar to or much better than the existing feature selection algorithms, even with the constraints from both literature and the existing algorithms. An fsCoP biomarker may be intriguing for further wet lab validation, since it satisfies both the classification optimization function and the biomedical knowledge. fsCoP may also be used for the interactive exploration of bio-OMIC big data by interactively adding user-defined constraints for modeling.
收录类别	SCI
原文出处	http://www.hindawi.com/journals/bmri/2015/910515/
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/7127]
专题	深圳先进技术研究院_医工所
作者单位	BioMed research international
推荐引用方式 GB/T 7714	Zhou Manli,Luo Youxi,Sun Guoquan,et al. Constraint Programming Based Biomarker Optimization[J]. BioMed research international,2015.
APA	Zhou Manli,Luo Youxi,Sun Guoquan,Mai Guoqin,&Zhou Fengfeng.(2015).Constraint Programming Based Biomarker Optimization.BioMed research international.
MLA	Zhou Manli,et al."Constraint Programming Based Biomarker Optimization".BioMed research international (2015).