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...
Branham, William S, Melvin, Cathy D, Han, Tao, Desai, Varsha G, Moland, Carrie L, Scully, Adam T, ...
Abstract Background Environmental ozone can rapidly degrade cyanine 5 (Cy5), a fluorescent dye commonly used in microarray gene expression studies. Cyanine 3 (Cy3) is much less affected by...
BMC Biotechnology BioMed Central Methodology article (2007)
William S Branham, Cathy D Melvin, Tao Han, Varsha G Desai, Carrie L Mol, ...
Elimination of laboratory ozone leads to a dramatic improvement in the reproducibility of microarray gene expression measurements
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....
Branham, William S, Melvin, Cathy D, Han, Tao, Desai, Varsha G, Moland, Carrie L, Scully, Adam T, ...
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...