Applying mixed models to assess gene significance with microarray data

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dc.contributor.advisor Kanfer, F.H.J. (Frans)
dc.contributor.postgraduate Dzikiti, Loveness Nyaradzo
dc.date.accessioned 2013-09-09T12:21:58Z
dc.date.available 2007-02-21 en
dc.date.available 2013-09-09T12:21:58Z
dc.date.created 2006-04-21 en
dc.date.issued 2005 en
dc.date.submitted 2007-02-21 en
dc.description Dissertation (MSc (Mathematical Statistics))--University of Pretoria, 2005 en
dc.description.abstract No Abstract en
dc.description.availability Restricted en
dc.description.department Statistics en
dc.description.faculty Faculty of Natural and Agricultural Sciences
dc.identifier.citation Dzikiti, L 2006, Applying mixed models to assess gene significance with microarray data, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://upetd.up.ac.za/thesis/available/etd-02212007-163324/ > en
dc.identifier.upetdurl http://upetd.up.ac.za/thesis/available/etd-02212007-163324/ en
dc.identifier.uri http://hdl.handle.net/2263/31548
dc.language.iso en en
dc.publisher University of Pretoria
dc.rights © 2006, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. en
dc.subject UCTD en
dc.subject Gene en
dc.subject Significance en
dc.subject Microarray en
dc.subject Data en
dc.subject Applying en
dc.subject Mixed models en
dc.subject Assess
dc.title Applying mixed models to assess gene significance with microarray data en
dc.type Dissertation en


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