Paper Info
Title
Grouping Levels of Exposure with Same Observable Effects before Class Prediction in Toxicogenomics
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.
Year
DOI
Venue
2008
10.1109/BIOTECHNO.2008.17
BIOTECHNO
Keywords
Field
DocType
dose exposure prediction,better prediction performance,molecular signature,toxicogenomics study,monte carlo cross validation,grouping levels,observable effect,observable effects,gene expression,class prediction,different gathering,possible effect,classification,cross validation,mathematical model,microarrays,gene expression profiling,toxicogenomics,monte carlo,monte carlo methods,classification algorithms,estimation,filtering,genetics,toxicology
Toxicogenomics,Monte Carlo method,Observable,Computer science,Bioinformatics,Statistical classification,Classifier (linguistics),Gene expression profiling,DNA microarray,Toxicant
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
6
Name
Order
Citations
PageRank
Vincent Guillemot1363.38
Cathy Philippe200.34
Arthur Tenenhaus3648.61
Jérôme Rollin400.68
Xavier Gidrol5360.89
V Frouin654879.73