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	Compound signature detection on LINCS L1000 big data
	Liu, Chenglin ; Su, Jing ; Yang, Fei ; Wei, Kun ; Ma, Jinwen ; Zhou, Xiaobo
	2015
关键词	GENE-EXPRESSION SIGNATURES BREAST-CANCER CELLS MATRIX FACTORIZATION INHIBITORS DISCOVERY PROTEIN MODEL
英文摘要	The Library of Integrated Network-based Cellular Signatures (LINCS) L1000 big data provide gene expression profiles induced by over 10000 compounds, shRNAs, and kinase inhibitors using the L1000 platform. We developed csNMF, a systematic compound signature discovery pipeline covering from raw L1000 data processing to drug screening and mechanism generation. The csNMF pipeline demonstrated better performance than the original L1000 pipeline. The discovered compound signatures of breast cancer were consistent with the LINCS KINOMEscan data and were clinically relevant. The csNMF pipeline provided a novel and complete tool to expedite signature-based drug discovery leveraging the LINCS L1000 resources.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000349995600003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Biochemistry & Molecular Biology; SCI(E); PubMed; 4; ARTICLE; jsu@wakehealth.edu; xizhou@wakehealth.edu; 3; 714-722; 11
语种	英语
出处	PubMed ; SCI
出版者	分子生物系统
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/157226]
专题	数学科学学院
推荐引用方式 GB/T 7714	Liu, Chenglin,Su, Jing,Yang, Fei,et al. Compound signature detection on LINCS L1000 big data. 2015-01-01.

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