Bmc Bioinformatics, Robert R Delongchamp, Cruz Velasco, Stacey Dial, Angela J Harris
Proceedings Genome-wide estimation of gender differences in the gene expression of human livers: Statistical design and analysis
Bmc Bioinformatics, Taewon Lee, Varsha G Desai, Cruz Velasco, Robert J Reis, Robert R Delongchamp
Proceedings
Testing for treatment effects on gene ontology (2008)
Lee, Taewon, Desai, Varsha G, Velasco, Cruz, Reis, Robert, Delongchamp, Robert R
Abstract In studies that use DNA arrays to assess changes in gene expression, it is preferable to measure the significance of treatment effects on a group of genes from a pathway or functional...
Designing Toxicogenomics Studies that use DNA Array Technology (2008)
Robert R. Delongchamp, Cruz Velasco, Varsha G. Desai, Taewon Lee, James C. Fuscoe
Background: Bioassays are routinely used to evaluate the toxicity of test agents. Experimental designs for bioassays are largely encompassed by fixed effects linear models. In toxicogenomics studies...
Valentine, Carrie R., Rainey, Heather F., Farrell, Jessica M., Shaddock, Joseph G., Dobrovolsky, Vasily N., Delongchamp, Robert R.
A perceived disadvantage of transgenic rodent mutation assays is that spontaneous mutant frequencies are high compared to those of endogenous genes and may consequently reduce sensitivity to induced...
Chen, James J, Hsueh, Huey-Miin, Delongchamp, Robert R, Lin, Chien-Ju, Tsai, Chen-An
Abstract Background Many researchers are concerned with the comparability and reliability of microarray gene expression data. Recent completion of the MicroArray Quality Control (MAQC) project...
Significance analysis of groups of genes in expression profiling studies (2007)
Chen, James J., Lee, Taewon, Delongchamp, Robert R., Chen, Tao, Tsai, Chen-An
Motivation: Gene class testing (GCT) is a statistical approach to determine whether some functionally predefined classes of genes express differently under two experimental conditions. GCT computes...
James J Chen, Huey-miin Hsueh, Robert R Delongchamp, Chien-ju Lin, Chen-an Tsai, Open Access
© 2007 Chen et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License
McKinzie, Page B., Delongchamp, Robert R., Chen, Tao, Parsons, Barbara L.
K-ras codon 12 GGT→GAT and GGT→GTT mutations are the most frequently observed K-ras point mutations in human and rodent tumors and therefore are implicated in carcinogenesis for many tissues....
Delongchamp, Robert R, Velasco, Cruz, Dial, Stacey, Harris, Angela J
Abstract Background Gender differences in gene expression were estimated in liver samples from 9 males and 9 females. The study tested 31,110 genes for a gender difference using a design that...
Levels of H-ras codon 61 CAA to AAA mutation: response to 4-ABP-treatment and Pms2-deficiency (2005)
Parsons, Barbara L., Delongchamp, Robert R., Beland, Frederick A., Heflich, Robert H.
DNA mismatch repair (MMR) deficiencies result in increased frequencies of spontaneous mutation and tumor formation. In the present study, we tested the hypothesis that a chemically-induced mutational...
Analysis of variance components in gene expression data (2004)
Chen, James J., Delongchamp, Robert R., Tsai, Chen-An, Hsueh, Huey-miin, Sistare, Frank, Thompson, Karol L., ...
Motivation: A microarray experiment is a multi-step process and each step is a potential source of variation. There are two major sources of variation: biological variation and technical variation....
Analysis of variance components in gene expression data (2004)
Chen, James J., Delongchamp, Robert R., Tsai, Chen-An, Hsueh, Huey-miin, Sistare, Frank, Thompson, Karol L., ...
Motivation: A microarray experiment is a multi-step process, and each step is a potential source of variation. There are two major sources of variation: biological variation and technical variation....
Analysis of variance components in gene expression data (2004)
Chen, James J., Delongchamp, Robert R., Tsai, Chen-An, Hsueh, Huey-miin, Sistare, Frank, Thompson, Karol L., ...
Motivation: A microarray experiment is a multi-step process and each step is a potential source of variation. There are two major sources of variation: biological variation and technical variation....
Beland, Frederick A., Dooley, Kenneth L., Sheldon, Winslow G., Delongchamp, Robert R.
Male C57BL/6N mice were administered a single ip injection of 30 mg of N- methyl-N-nitrosourea (MNU)/kg of body weight. Additional groups were treated similarly every 3 hours for the next 24...
WEST, ROBERT W., SHELDON, WINSLOW G., GAYLOR, DAVID W., HASKIN, M. GARY, DELONGCHAMP, ROBERT R., KADLUBAR, FRED F.
The Effects of Saccharin on the Development of Neoplastic Lesions Initiated with N-Methyl-N-nitrosourea in the Rat Urothelium. WEST, R.W., SHELDON, W.G., GAYLOR, D.W., HASKIN, M.G., DELONGCHAMP,...
Reproducibility of microarray data: a further analysis of microarray quality control (MAQC) data
Chen, James J, Hsueh, Huey-Miin, Delongchamp, Robert R, Lin, Chien-Ju, Tsai, Chen-An
Testing for treatment effects on gene ontology
Lee, Taewon, Desai, Varsha G, Velasco, Cruz, Reis, Robert JS, Delongchamp, Robert R
In studies that use DNA arrays to assess changes in gene expression, it is preferable to measure the significance of treatment effects on a group of genes from a pathway or functional category such...