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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, Published 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 Sciences
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: 2018-01-11Bibliographically approved

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fulltext(266 kB)63 downloads
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • 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