Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Applying mixed models to assess gene significance with microarray data

Dissertation (MSc (Mathematical Statistics))--University of Pretoria, 2005

Saved in:
Bibliographic Details
Other Authors: Kanfer, F.H.J. (Frans)
Format: Thesis
Language:English
Published: University of Pretoria 2013
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867613468613410816
access_status_str Open Access
author2 Kanfer, F.H.J. (Frans)
author_browse Kanfer, F.H.J. (Frans)
author_facet Kanfer, F.H.J. (Frans)
collection Thesis
dc_rights_str_mv © 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.
description Dissertation (MSc (Mathematical Statistics))--University of Pretoria, 2005
format Thesis
id oai:repository.up.ac.za:2263/31548
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:36:37.921Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/31548 Applying mixed models to assess gene significance with microarray data Kanfer, F.H.J. (Frans) loveness.dzikiti@up.ac.za Dzikiti, Loveness Nyaradzo UCTD Gene Significance Microarray Data Applying Mixed models Assess Dissertation (MSc (Mathematical Statistics))--University of Pretoria, 2005 No Abstract Statistics Restricted Faculty of Natural and Agricultural Sciences 2013-09-09T12:21:58Z 2007-02-21 2013-09-09T12:21:58Z 2006-04-21 2005 2007-02-21 Dissertation 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/ > http://hdl.handle.net/2263/31548 http://upetd.up.ac.za/thesis/available/etd-02212007-163324/ en © 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. application/pdf University of Pretoria
spellingShingle UCTD
Gene
Significance
Microarray
Data
Applying
Mixed models
Assess
Applying mixed models to assess gene significance with microarray data
title Applying mixed models to assess gene significance with microarray data
title_full Applying mixed models to assess gene significance with microarray data
title_fullStr Applying mixed models to assess gene significance with microarray data
title_full_unstemmed Applying mixed models to assess gene significance with microarray data
title_short Applying mixed models to assess gene significance with microarray data
title_sort applying mixed models to assess gene significance with microarray data
topic UCTD
Gene
Significance
Microarray
Data
Applying
Mixed models
Assess
url http://hdl.handle.net/2263/31548
http://upetd.up.ac.za/thesis/available/etd-02212007-163324/