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» Unfolding of Microarray Data
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BMCBI
2004
150views more  BMCBI 2004»
13 years 7 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
FGCS
2007
172views more  FGCS 2007»
13 years 7 months ago
From access and integration to mining of secure genomic data sets across the Grid
The UK Department of Trade and Industry (DTI) funded BRIDGES project (Biomedical Research Informatics Delivered by Grid Enabled Services) has developed a Grid infrastructure to su...
Richard O. Sinnott
BMCBI
2008
137views more  BMCBI 2008»
13 years 8 months ago
VennMaster: Area-proportional Euler diagrams for functional GO analysis of microarrays
Background: Microarray experiments generate vast amounts of data. The functional context of differentially expressed genes can be assessed by querying the Gene Ontology (GO) datab...
Hans A. Kestler, André Müller, Johann ...
BMCBI
2010
100views more  BMCBI 2010»
13 years 8 months ago
Efficiency clustering for low-density microarrays and its application to QPCR
Background: Pathway-targeted or low-density arrays are used more and more frequently in biomedical research, particularly those arrays that are based on quantitative real-time PCR...
Eric F. Lock, Ryan Ziemiecki, J. S. Marron, Dirk P...
BMCBI
2006
136views more  BMCBI 2006»
13 years 8 months ago
Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression
Background: The recent advancement of microarray technology with lower noise and better affordability makes it possible to determine expression of several thousand genes simultane...
Raja Loganantharaj, Satish Cheepala, John Clifford