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BIB
2007
59views more  BIB 2007»
8 years 9 months ago
Statistically designing microarrays and microarray experiments to enhance sensitivity and specificity
Gene expression signatures from microarray experiments promise to provide important prognostic tools for predicting disease outcome or response to treatment. A number of microarra...
Jason C. Hsu, Jane Chang, Tao Wang, Eiríkur...
BMCBI
2007
165views more  BMCBI 2007»
8 years 9 months ago
TagSmart: analysis and visualization for yeast mutant fitness data measured by tag microarrays
Background: A nearly complete collection of gene-deletion mutants (96% of annotated open reading frames) of the yeast Saccharomyces cerevisiae has been systematically constructed....
Chulyun Kim, Sangkyum Kim, Russell Dorer, Dan Xie,...
APBC
2004
107views Bioinformatics» more  APBC 2004»
8 years 10 months ago
An Empirical Bayes Adjustment to Multiple p-values for the Detection of Differentially Expressed Genes in Microarray Experiments
In recent microarray experiments thousands of gene expressions are simultaneously tested in comparing samples (e.g., tissue types or experimental conditions). Application of a sta...
Somnath Datta, Susmita Datta
BMCBI
2010
114views more  BMCBI 2010»
8 years 9 months ago
Detecting variants with Metabolic Design, a new software tool to design probes for explorative functional DNA microarray develop
Background: Microorganisms display vast diversity, and each one has its own set of genes, cell components and metabolic reactions. To assess their huge unexploited metabolic poten...
Sébastien Terrat, Eric Peyretaillade, Olivi...
BMCBI
2010
132views more  BMCBI 2010»
8 years 9 months ago
Parallel multiplicity and error discovery rate (EDR) in microarray experiments
Background: In microarray gene expression profiling experiments, differentially expressed genes (DEGs) are detected from among tens of thousands of genes on an array using statist...
Wayne Wenzhong Xu, Clay J. Carter
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