Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition
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Language: | English |
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BioMed Central
2007
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2220007/ |
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pubmed-22200072008-01-31 Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition Tamura, Takeyuki Akutsu, Tatsuya Research Article BioMed Central 2007-11-30 /pmc/articles/PMC2220007/ /pubmed/18047679 http://dx.doi.org/10.1186/1471-2105-8-466 Text en Copyright © 2007 Tamura and Akutsu; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
Tamura, Takeyuki Akutsu, Tatsuya |
spellingShingle |
Tamura, Takeyuki Akutsu, Tatsuya Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition |
author_facet |
Tamura, Takeyuki Akutsu, Tatsuya |
author_sort |
Tamura, Takeyuki |
title |
Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition |
title_short |
Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition |
title_full |
Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition |
title_fullStr |
Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition |
title_full_unstemmed |
Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition |
title_sort |
subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition |
description |
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publisher |
BioMed Central |
publishDate |
2007 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2220007/ |
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1611435827545505792 |