Maximization Of Negative Correlations In Time-course Gene Expression Data For Enhancing Understanding Of Molecular Pathways

Zeng, T; Li, J

Maximization Of Negative Correlations In Time-course Gene Expression Data For Enhancing Understanding Of Molecular Pathways

Zeng, T Li, J

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Publisher:: Oxford Univ Press
Publication Type:: Journal Article
Citation:: Zeng T and Li Jinyan 2010, 'Maximization Of Negative Correlations In Time-course Gene Expression Data For Enhancing Understanding Of Molecular Pathways', Oxford Univ Press, vol. 38, no. 1, pp. e1-e1.
Issue Date:: 2010

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Field	Value	Language
dc.contributor.author	Zeng, T	en_US
dc.contributor.author	Li, J	en_US
dc.date.accessioned	2012-02-02T07:06:30Z
dc.date.available	2012-02-02T07:06:30Z
dc.date.issued	2010	en_US
dc.identifier	2010006935	en_US
dc.identifier.citation	Zeng T and Li Jinyan 2010, 'Maximization Of Negative Correlations In Time-course Gene Expression Data For Enhancing Understanding Of Molecular Pathways', Oxford Univ Press, vol. 38, no. 1, pp. e1-e1.	en_US
dc.identifier.issn	0305-1048	en_US
dc.identifier.other	C1UNSUBMIT	en_US
dc.identifier.uri	http://hdl.handle.net/10453/14840
dc.description.abstract	Positive correlation can be diversely instantiated as shifting, scaling or geometric pattern, and it has been extensively explored for time-course gene expression data and pathway analysis. Recently, biological studies emerge a trend focusing on the noti	en_US
dc.publisher	Oxford Univ Press	en_US
dc.relation.ispartof	Nucleic Acids Research	en_US
dc.relation.ispartof	Verified OK	en_US
dc.relation.hasversion	Accepted manuscript version	en_US
dc.relation.isbasedon	http://dx.doi.org/10.1093/nar/gkp822	en_US
dc.rights	This is a pre-copy-edited, author-produced PDF of an article accepted for publication in Nucleic Acids Research following peer review. The definitive publisher-authenticated version Zeng T and Li Jinyan 2010, 'Maximization Of Negative Correlations In Time-course Gene Expression Data For Enhancing Understanding Of Molecular Pathways', vol. 38, no. 1, pp. e1-e1 is available online at:http://dx.doi.org/10.1093/nar/gkp822	en_US
dc.subject	SACCHAROMYCES-CEREVISIAE; CELL-CYCLE; BICLUSTERING ALGORITHM; REGULATORY NETWORK; CANCER-CELLS; YEAST; PATTERNS; IDENTIFICATION; PROFILES; SERIES	en_US
dc.subject.classification	Bioinformatics Software	en_US
dc.title	Maximization Of Negative Correlations In Time-course Gene Expression Data For Enhancing Understanding Of Molecular Pathways	en_US
dc.type	Journal article
utslib.citation.volume	38	en_US
utslib.citation.number	1	en_US
utslib.location	Oxford	en_US
utslib.citation.startpage	e1	en_US
utslib.citation.endpage	e1	en_US
utslib.identifier.org	FEIT.Faculty of Engineering & Information Technology	en_US
utslib.for	080301	en_US
utslib.percentage	100	en_US
utslib.copyright.status	open_access

Abstract:

Positive correlation can be diversely instantiated as shifting, scaling or geometric pattern, and it has been extensively explored for time-course gene expression data and pathway analysis. Recently, biological studies emerge a trend focusing on the noti

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http://hdl.handle.net/10453/14840