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Comparing Approaches to Predict Transmembrane Domains in Protein Sequences
Responsible organisation
2005 (English)Conference paper (Refereed) Published
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
URN: urn:nbn:se:bth-8766Local ID: diva2:836518
20th Annual ACM Symposium on Applied Computing
Available from: 2012-09-18 Created: 2008-01-04 Last updated: 2015-06-30Bibliographically approved

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Computer Science

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