Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition

Bibliographic Details
Main Authors: Tamura, Takeyuki, Akutsu, Tatsuya
Format: Online
Language:English
Published: BioMed Central 2007
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2220007/
id pubmed-2220007
recordtype oai_dc
spelling 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
publisher BioMed Central
publishDate 2007
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2220007/
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