Predicting protein subnuclear location with optimized evidence-theoretic K-nearest classifier and pseudo amino acid composition-Reference-Cited by-同舟云学术

Predicting protein subnuclear location with optimized evidence-theoretic K-nearest classifier and pseudo amino acid composition

Published:2005-11 Issue:3 Volume:337 Page:752-756
ISSN:0006-291X
Container-title:Biochemical and Biophysical Research Communications
language:en
Short-container-title:Biochemical and Biophysical Research Communications

Author:

Shen Hong-Bin,Chou Kuo-Chen

Publisher

Elsevier BV

Subject

Cell Biology,Molecular Biology,Biochemistry,Biophysics

Reference30 articles.

1. Towards a systematics for protein subcellular location: quantitative description of protein localization patterns and automated analysis of fluorescence microscope images;Murphy;Proc. Int. Conf. Intell. Syst. Mol. Biol.,2000

2. A knowledge base for predicting protein localization sites in eukaryotic cells;Nakai;Genomics,1992

3. Protein sorting signals and prediction of subcellular localization;Nakai;Adv. Protein Chem.,2000

4. Relation between amino acid composition and cellular location of proteins;Cedano;J. Mol. Biol.,1997

5. Protein subcellular location prediction;Chou;Protein Eng.,1999

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