Paper Info
Title
Use of correspondence discriminant analysis to predict the subcellular location of bacterial proteins.
Abstract
Correspondence discriminant analysis (CDA) is a multivariate statistical method derived from discriminant analysis which can be used on contingency tables. We have used CDA to separate Gram negative bacteria proteins according to their subcellular location. The high resolution of the discrimination obtained makes this method a good tool to predict subcellular location when this information is not known. The main advantage of this technique is its simplicity. Indeed, by computing two linear formulae on amino acid composition, it is possible to classify a protein into one of the three classes of subcellular location we have defined. The CDA itself can be computed with the ADE-4 software package that can be downloaded, as well as the data set used in this study, from the Pôle Bio-Informatique Lyonnais (PBIL) server at http://pbil.univ-lyon1.fr.
Year
DOI
Venue
2003
10.1016/S0169-2607(02)00011-1
Computer Methods and Programs in Biomedicine
Keywords
Field
DocType
Correspondence discriminant analysis,Gram negative bacteria,Protein subcellular location
Pattern recognition,Amino acid composition,Multivariate statistics,Computer science,Software,Contingency table,Artificial intelligence,Linear discriminant analysis
Journal
Volume
Issue
ISSN
70
2
0169-2607
Citations 
PageRank 
References 
6
0.63
6
Authors
2
Name
Order
Citations
PageRank
Guy Perrière129240.35
Jean Thioulouse24112.21