Prediction of protein cellular localization sites using a hybrid method based on artificial immune system and fuzzy k-NN algorithm-Reference-Cited by-同舟云学术

Prediction of protein cellular localization sites using a hybrid method based on artificial immune system and fuzzy k-NN algorithm

Published:2009-09 Issue:5 Volume:19 Page:815-826
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Sengur Abdulkadir

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference21 articles.

1. Ana Carolina Lorena, André Carlos Ponce, Leon Ferreira de Carvalho, Protein cellular localization with multiclass support vector machines and decision trees, in: BSB, 2005, pp. 42–53

2. Analysing the localization sites of proteins through neural networks ensembles;Anastasiadis;Neural Comput. Appl.,2006

3. Predicting subcellular localization of proteins using machine learned classifiers;Lu;Bioinformatics,2004

4. Predicting gene function in Saccharomyces cerevisiae;Clare;Bioinformatics,2003

5. A probabilistic classification system for predicting the cellular localization sites of proteins;Horton,1996

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