his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
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
Combining Probabilistic and Discrete Methods for Sequence Modelling
University of Skövde, Department of Computer Science.
1999 (English)Independent thesis Basic level (degree of Bachelor)Student thesis
Abstract [en]

Sequence modelling is used for analysing newly sequenced proteins, giving indication of the 3-D structure and functionality. Current approaches to the modelling of protein families are either based on discrete or probabilistic methods. Here we present an approach for combining these two approaches in a hybrid model, where discrete patterns are used to model conserved regions and probabilistic models are used for variable regions. When hidden Markov models are used to model the variable regions, the hybrid method gives increased classification accuracy, compared to pure discrete or probabilistic models.

Place, publisher, year, edition, pages
Skövde: Institutionen för datavetenskap , 1999. , 84 p.
Keyword [en]
Bioinformatics, Bio-sequence analyse, Probabilistic models, Hybrid
National Category
Information Science
Identifiers
URN: urn:nbn:se:his:diva-390OAI: oai:DiVA.org:his-390DiVA: diva2:2760
Presentation
(English)
Uppsok
Social and Behavioural Science, Law
Supervisors
Available from: 2007-12-12 Created: 2007-12-12 Last updated: 2010-02-05

Open Access in DiVA

fulltext(1908 kB)65 downloads
File information
File name FULLTEXT01.psFile size 1908 kBChecksum SHA-1
a7e7791073c23a32d887e98ac81c5aecea9851c924a7e87ad7950f65e6557970af3829ad
Type fulltextMimetype application/postscript
fulltext(314 kB)158 downloads
File information
File name FULLTEXT02.pdfFile size 314 kBChecksum SHA-512
7a388a33d4acb3be0a952f5ea66c919f3edc8fac5d12669e41e21de7d53c9acced67fae248b7288c56e36aa10705effcb1818235b0ca03addd81dac872190cfe
Type fulltextMimetype application/pdf

By organisation
Department of Computer Science
Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 223 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 134 hits
CiteExportLink to record
Permanent link

Direct link
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