Design and analysis of parallelism in microarray data for gene feature selection using softcomputing approach

dc.contributor.guide	Balasubramanian R
dc.coverage.spatial
dc.creator.researcher	Natarajan A
dc.date.accessioned	2017-10-13T10:31:11Z
dc.date.available	2017-10-13T10:31:11Z
dc.date.awarded	nd
dc.date.completed	2016
dc.date.registered	nd
dc.description.abstract	The experimental steps of typical microarray began with extraction newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent	xviii, 174
dc.identifier.uri	http://hdl.handle.net/10603/175585
dc.language	English
dc.publisher.institution	Department of Computer Science and Engg.
dc.publisher.place	Tirunelveli
dc.publisher.university	Manonmaniam Sundaranar University
dc.relation	182
dc.rights	university
dc.source.university	University
dc.subject.keyword	expression levels
dc.subject.keyword	gene selection
dc.subject.keyword	impose important
dc.title	Design and analysis of parallelism in microarray data for gene feature selection using softcomputing approach
dc.title.alternative
dc.type.degree	Ph.D.