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Comparing Approaches to Predict Transmembrane Domains in Protein Sequences
Blekinge Institute of Technology, School of Computing.
Travelstart Nordic, SWE.
Ericsson AB, SWE.
Responsible organisation
2005 (English)Conference paper, (Refereed)
Abstract [en]

There are today several systems for predicting transmembrane domains in membrane protein sequences. As they are based on different classifiers as well as different pre- and post-processing techniques, it is very difficult to evaluate the performance of the particular classifier used. We have developed a system called MemMiC for predicting transmembrane domains in protein sequences with the possibility to choose between different approaches to pre- and post-processing as well as different classifiers. Therefore it is possible to compare the performance of each classifier in a certain environment as well as the different approaches to pre- and post-processing. We have demonstrated the usefulness of MemMiC in a set of experiments, which shows, e.g., that the performance of a classifier is very dependent on which pre- and post-processing techniques are used.

Place, publisher, year, edition, pages
ACM , 2005.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-8766Local ID: oai:bth.se:forskinfo47A78F9C10C2DA20C12573C6005A30E8OAI: oai:DiVA.org:bth-8766DiVA: diva2:836518
Conference
20th Annual ACM Symposium on Applied Computing
Available from: 2012-09-18 Created: 2008-01-04 Last updated: 2017-05-23Bibliographically approved

Open Access in DiVA

fulltext(266 kB)36 downloads
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Davidsson, PaulHagelbäck, Johan
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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