Comparing Approaches to Predict Transmembrane Domains in Protein Sequences
Blekinge Institute of Technology, School of Engineering, Department of Systems and Software Engineering2005 (English)Conference paper (Refereed) Published
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.
IdentifiersURN: urn:nbn:se:bth-8766Local ID: oai:bth.se:forskinfo47A78F9C10C2DA20C12573C6005A30E8OAI: oai:DiVA.org:bth-8766DiVA: diva2:836518
20th Annual ACM Symposium on Applied Computing