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	Deeper investigation into the utility of functional class scoring in missing protein prediction from proteomics data.
	Zhao, Y.a; Sue, A.C.-H.a; Goh, W.W.B.b
刊名	Journal of bioinformatics and computational biology
	2019
卷号	Vol.17 No.2页码:1950013
关键词	Proteomics confounders functional class scoring missing protein problem statistics
ISSN号	1757-6334
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2899023
专题	天津大学
作者单位	1.aSchool of Pharmaceutical Science and Technology, Tianjin University, No. 92, Weijin Road, Tianjin, 30072, China 2.bSchool of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore
推荐引用方式 GB/T 7714	Zhao, Y.a,Sue, A.C.-H.a,Goh, W.W.B.b. Deeper investigation into the utility of functional class scoring in missing protein prediction from proteomics data.[J]. Journal of bioinformatics and computational biology,2019,Vol.17 No.2:1950013.
APA	Zhao, Y.a,Sue, A.C.-H.a,&Goh, W.W.B.b.(2019).Deeper investigation into the utility of functional class scoring in missing protein prediction from proteomics data..Journal of bioinformatics and computational biology,Vol.17 No.2,1950013.
MLA	Zhao, Y.a,et al."Deeper investigation into the utility of functional class scoring in missing protein prediction from proteomics data.".Journal of bioinformatics and computational biology Vol.17 No.2(2019):1950013.

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