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Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes?

Authors :
Alpha Diallo
Françoise Giroud
Ahlame Douzal-Chouakria
Source :
Advances in Intelligent Data Analysis VIII ISBN: 9783642039140, IDA
Publication Year :
2009
Publisher :
Springer Berlin Heidelberg, 2009.

Abstract

This paper addresses the clustering and classification of active genes during the process of cell division. Cell division ensures the proliferation of cells, but becomes drastically aberrant in cancer cells. The studied genes are described by their expression profiles (i.e. time series) during the cell division cycle. This work focuses on evaluating the efficiency of four major metrics for clustering and classifying gene expression profiles. The study is based on a random-periods model for the expression of cell-cycle genes. The model accounts for the observed attenuation in cycle amplitude or duration, variations in the initial amplitude, and drift in the expression profiles.

Details

ISBN :
978-3-642-03914-0
ISBNs :
9783642039140
Database :
OpenAIRE
Journal :
Advances in Intelligent Data Analysis VIII ISBN: 9783642039140, IDA
Accession number :
edsair.doi...........0270f849794124309e303ee9b889f9bd
Full Text :
https://doi.org/10.1007/978-3-642-03915-7_24