A novel representation of protein sequences for prediction of subcellular location using support vector machines.

@article{Matsuda2005ANR,
  title={A novel representation of protein sequences for prediction of subcellular location using support vector machines.},
  author={Setsuro Matsuda and Jean-Philippe Vert and Hiroto Saigo and Nobuhisa Ueda and Hiroyuki Toh and Tatsuya Akutsu},
  journal={Protein science : a publication of the Protein Society},
  year={2005},
  volume={14 11},
  pages={2804-13}
}
As the number of complete genomes rapidly increases, accurate methods to automatically predict the subcellular location of proteins are increasingly useful to help their functional annotation. In order to improve the predictive accuracy of the many prediction methods developed to date, a novel representation of protein sequences is proposed. This representation involves local compositions of amino acids and twin amino acids, and local frequencies of distance between successive (basic… CONTINUE READING
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