Hybrid SVM-ANFIS for protein subcellular location prediction
نویسندگان
چکیده
منابع مشابه
Protein subcellular location prediction.
The function of a protein is closely correlated with its subcellular location. With the rapid increase in new protein sequences entering into data banks, we are confronted with a challenge: is it possible to utilize a bioinformatic approach to help expedite the determination of protein subcellular locations? To explore this problem, proteins were classified, according to their subcellular locat...
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Current plant genome sequencing projects have called for development of novel and powerful high throughput tools for timely annotating the subcellular location of uncharacterized plant proteins. In view of this, an ensemble classifier, Plant-PLoc, formed by fusing many basic individual classifiers, has been developed for large-scale subcellular location prediction for plant proteins. Each of th...
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ORGANIZATION. Section 1. We first provide the motivation for prediction of protein subcellular localization sites, as well as discuss changes being brought about by progress in proteomics. Section 2. After that, we describe the biology of protein subcellular location. In particular, we explain the principle of protein sorting signals. Section 3. Then we present several experimental techniques f...
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ژورنال
عنوان ژورنال: International Journal of Computational Intelligence in Bioinformatics and Systems Biology
سال: 2009
ISSN: 1755-8034,1755-8042
DOI: 10.1504/ijcibsb.2009.024051