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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. , p. 84
Keywords [en]
Bioinformatics, Bio-sequence analyse, Probabilistic models, Hybrid
National Category
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-390OAI: oai:DiVA.org:his-390DiVA, id: diva2:2760
Presentation
(English)
Uppsok
Social and Behavioural Science, Law
Supervisors
Available from: 2007-12-12 Created: 2007-12-12 Last updated: 2018-01-12

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Citation style
  • apa
  • apa-cv
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Output format
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