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Eukaryotic RNA Polymerase II start site detection using artificial neural networks
Dissertation (MEng (Computer Engineering))--University of Pretoria, 2007.
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| Format: | Thesis |
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University of Pretoria
2013
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| _version_ | 1867613449270329344 |
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| access_status_str | Open Access |
| author2 | Barnard, E. |
| author_browse | Barnard, E. |
| author_facet | Barnard, E. |
| collection | Thesis |
| dc_rights_str_mv | © 2005, 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 (MEng (Computer Engineering))--University of Pretoria, 2007. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/24730 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:36:19.431Z |
| 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:2263/24730 Eukaryotic RNA Polymerase II start site detection using artificial neural networks Barnard, E. gerbert.myburgh@kentron.co.za Myburgh, Gerbert Artificial neural network application Automated promoter detection Polymerase ii UCTD Dissertation (MEng (Computer Engineering))--University of Pretoria, 2007. An automated detection process for Eukaryotic ribonucleic acid (RNA) Polymerase II Promoter is presented in this dissertation. We employ an artificial neural network (ANN) in conjunction with features that were selected using an information-theoretic approach. Firstly an introduction is given where the problem is described briefly. Some background is given about the biological and genetic principles involved in DNA, RNA and Promoter detection. The automation process is described with each step given in detail. This includes the data information gathering, feature generation, and the full ANN process. The ANN section of the project is split up in a generation process, a training section as well as a testing section. Lastly the final detection program was tested and compared to other promoter detection systems. An improvement of at least 10% in positive prediction value (PPV) in comparison with current state-of-the-art solutions was obtained. Note: A Companion CD should accompany this report that contains all the program code and some of the source data that was used in this project. All the references to “Companion CD”, reference number [18] are references to these programs.acquisition process, how the different samples were split into different sets and statistical. Electrical, Electronic and Computer Engineering unrestricted 2013-09-06T18:14:53Z 2006-01-24 2013-09-06T18:14:53Z 2005-09-06 2007-01-24 2006-01-24 Dissertation Myburgh, G 2005, Eukaryotic RNA Polymerase II start site detection using artificial neural networks, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/24730 > http://hdl.handle.net/2263/24730 http://upetd.up.ac.za/thesis/available/etd-01242006-084630/ © 2005, 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 | Artificial neural network application Automated promoter detection Polymerase ii UCTD Eukaryotic RNA Polymerase II start site detection using artificial neural networks |
| title | Eukaryotic RNA Polymerase II start site detection using artificial neural networks |
| title_full | Eukaryotic RNA Polymerase II start site detection using artificial neural networks |
| title_fullStr | Eukaryotic RNA Polymerase II start site detection using artificial neural networks |
| title_full_unstemmed | Eukaryotic RNA Polymerase II start site detection using artificial neural networks |
| title_short | Eukaryotic RNA Polymerase II start site detection using artificial neural networks |
| title_sort | eukaryotic rna polymerase ii start site detection using artificial neural networks |
| topic | Artificial neural network application Automated promoter detection Polymerase ii UCTD |
| url | http://hdl.handle.net/2263/24730 http://upetd.up.ac.za/thesis/available/etd-01242006-084630/ |