DocumentCode :
2075389
Title :
Grouping Levels of Exposure with Same Observable Effects before Class Prediction in Toxicogenomics
Author :
Guillemot, Vincent ; Philippe, Cathy ; Tenenhaus, Arthur ; Rollin, Jerome ; Gidrol, Xavier ; Frouin, Vincent
Author_Institution :
Lab. d´´Exploration Fonctionnelle des Genomes, CEA, Evry
fYear :
2008
fDate :
June 29 2008-July 5 2008
Firstpage :
164
Lastpage :
169
Abstract :
Gene expression profiling in toxicogenomics is often used to find molecular signature of toxicants. The range of doses chosen in toxicogenomics studies does not always represent all the possible effects on gene expression: several doses of toxicant can lead to the same observable effect on the transcriptome. This makes the problem of dose exposure prediction difficult to address. We propose a strategy allowing to gather the doses with similar effects prior to the computing of a molecular signature. The different gatherings of doses are compared with criteria based on likelihood or Monte Carlo cross validation. The molecular signature is then determined via a voting algorithm. Experimental results point out that the obtained classifier has better prediction performances than the classifier computed according to the original labeling.
Keywords :
Monte Carlo methods; genetics; medical computing; toxicology; Monte Carlo cross validation algorithm; dose exposure prediction; gene expression profiling; likelihood-based method; molecular signature; toxicant doses; toxicogenomics; voting algorithm; Bioinformatics; Drugs; Gene expression; Labeling; Machine learning algorithms; Monte Carlo methods; Oncology; Performance evaluation; Testing; Voting; Classification; Classification likelihood; Microarrays; Molecular signature; Monte Carlo Cross Validation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biocomputation, Bioinformatics, and Biomedical Technologies, 2008. BIOTECHNO '08. International Conference on
Conference_Location :
Bucharest
Print_ISBN :
978-0-7695-3191-5
Electronic_ISBN :
978-0-7695-3191-5
Type :
conf
DOI :
10.1109/BIOTECHNO.2008.17
Filename :
4561153
Link To Document :
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