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» Determining gene expression on a single pair of microarrays
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BMCBI
2004
146views more  BMCBI 2004»
13 years 7 months ago
Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
Background: Functional genomics studies are yielding information about regulatory processes in the cell at an unprecedented scale. In the yeast S. cerevisiae, DNA microarrays have...
Feng Gao, Barrett C. Foat, Harmen J. Bussemaker
BMCBI
2006
90views more  BMCBI 2006»
13 years 7 months ago
The PowerAtlas: a power and sample size atlas for microarray experimental design and research
Background: Microarrays permit biologists to simultaneously measure the mRNA abundance of thousands of genes. An important issue facing investigators planning microarray experimen...
Grier P. Page, Jode W. Edwards, Gary L. Gadbury, P...
NAR
2007
155views more  NAR 2007»
13 years 7 months ago
AthaMap web tools for the analysis and identification of co-regulated genes
The AthaMap database generates a map of cisregulatory elements for the whole Arabidopsis thaliana genome. This database has been extended by new tools to identify common cis-regul...
Claudia Galuschka, Martin Schindler, Lorenz Bü...
BMCBI
2010
112views more  BMCBI 2010»
13 years 7 months ago
Knowledge-based analysis of microarrays for the discovery of transcriptional regulation relationships
Background: The large amount of high-throughput genomic data has facilitated the discovery of the regulatory relationships between transcription factors and their target genes. Wh...
Junhee Seok, Amit Kaushal, Ronald W. Davis, Wenzho...
BMCBI
2008
121views more  BMCBI 2008»
13 years 7 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...