Abstract：
:Optimally weighted fuzzy k-nearest neighbors (OWFKNN) algorithm has been used to predict proteins' subcellular locations based on their amino acid composition, in this paper. The datasets used consists of two species which are 997 prokaryotic and 2427 eukaryotic protein sequences. The overall prediction accuracy achieved is about 88.5% for prokaryotic sequences and 86.2% for eukaryotic sequences in a jackknife test. Compared to other algorithms developed for the prediction of protein subcellular location, OWFKNN gives very satisfying results. Therefore, OWFKNN can be used as an alternative method to predict protein localization.
journal_name
Comput Biol Chemjournal_title
Computational biology and chemistryauthors
Nasibov E,Kandemir-Cavas Cdoi
10.1016/j.compbiolchem.2008.07.011subject
Has Abstractpub_date
2008-12-01 00:00:00pages
448-51issue
6eissn
1476-9271issn
1476-928Xpii
S1476-9271(08)00093-5journal_volume
32pub_type
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