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2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)
Joint Genomic and Metabolomic Analysis of Toxic Dose-Response Experiments
Stanford, California
August 08-August 11
ISBN: 0-7695-2442-7
ASCII Text
x 
 
Gary L. Jahns, Nicholas DelRaso, Mark P. Westrick, Victor Chan, Nicholas V. Reo, Timothy R. Zacharewski, "Joint Genomic and Metabolomic Analysis of Toxic Dose-Response Experiments," 2005 IEEE Computational Systems Bioinformatics Conference - Workshops, pp. 195-198, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/CSBW.2005.81,
author = {Gary L. Jahns and Nicholas DelRaso and Mark P. Westrick and Victor Chan and Nicholas V. Reo and Timothy R. Zacharewski},
title = {Joint Genomic and Metabolomic Analysis of Toxic Dose-Response Experiments},
journal ={2005 IEEE Computational Systems Bioinformatics Conference - Workshops},
volume = {0},
year = {2005},
isbn = {0-7695-2442-7},
pages = {195-198},
doi = {http://doi.ieeecomputersociety.org/10.1109/CSBW.2005.81},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - 2005 IEEE Computational Systems Bioinformatics Conference - Workshops
TI - Joint Genomic and Metabolomic Analysis of Toxic Dose-Response Experiments
SN - 0-7695-2442-7
SP195
EP198
A1 - Gary L. Jahns,
A1 - Nicholas DelRaso,
A1 - Mark P. Westrick,
A1 - Victor Chan,
A1 - Nicholas V. Reo,
A1 - Timothy R. Zacharewski,
PY - 2005
KW - null
VL - 0
JA - 2005 IEEE Computational Systems Bioinformatics Conference - Workshops
ER -
 
Gary L. Jahns, BAE Systems Advanced Information Technologies
Nicholas DelRaso, Air Force Research Laboratory
Mark P. Westrick, Air Force Research Laboratory
Victor Chan, Air Force Research Laboratory
Nicholas V. Reo, Wright State University
Timothy R. Zacharewski, Michigan State University, Lansing

A methodology has been implemented for analyzing microarray and NMR spectral data obtained from the same set of toxic-exposure dose-response experiments. The NMR spectra additionally track the time course of exposure. Analyses consist of screening the data to eliminate variates with insignificant signal, normalization appropriate to the experimental design, Principal Components Analysis, and nonlinear classification using a Support Vector Machine. It is found that exposure at subtoxic levels can be detected.

Citation:
Gary L. Jahns, Nicholas DelRaso, Mark P. Westrick, Victor Chan, Nicholas V. Reo, Timothy R. Zacharewski, "Joint Genomic and Metabolomic Analysis of Toxic Dose-Response Experiments," csbw, pp.195-198, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05), 2005
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