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Deriving Genetic Networks Using Text Mining
University of Skövde, Department of Computer Science.
2002 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

On the Internet an enormous amount of information is available that is represented in an unstructured form. The purpose with a text mining tool is to collect this information and present it in a more structured form. In this report text mining is used to create an algorithm that searches abstracts available from PubMed and finds specific relationships between genes that can be used to create a network. The algorithm can also be used to find information about a specific gene. The network created by Mendoza et al. (1999) was verified in all the connections but one using the algorithm. This connection contained implicit information. The results suggest that the algorithm is better at extracting information about specific genes than finding connections between genes. One advantage with the algorithm is that it can also find connections between genes and proteins and genes and other chemical substances.

Place, publisher, year, edition, pages
Skövde: Institutionen för datavetenskap , 2002. , 88 p.
Keyword [en]
Text mining, Genetic network, Mendoza, Protein network
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:his:diva-708OAI: oai:DiVA.org:his-708DiVA: diva2:3108
Presentation
(English)
Uppsok
Physics, Chemistry, Mathematics
Supervisors
Available from: 2008-02-04 Created: 2008-02-04 Last updated: 2009-12-07

Open Access in DiVA

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Department of Computer Science
Bioinformatics (Computational Biology)

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf