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» Clustering Genes Using Heterogeneous Data Sources
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IPPS
2006
IEEE
16 years 15 days ago
Lossless compression for large scale cluster logs
The growing computational and storage needs of several scientific applications mandate the deployment of extreme-scale parallel machines, such as IBM’s Blue Gene/L which can acc...
R. Balakrishnan, Ramendra K. Sahoo
ICANN
2010
Springer
15 years 7 months ago
A Directional Laplacian Density for Underdetermined Audio Source Separation
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...
Nikolaos Mitianoudis
BMCBI
2010
151views more  BMCBI 2010»
15 years 6 months ago
BABAR: an R package to simplify the normalisation of common reference design microarray-based transcriptomic datasets
Background: The development of DNA microarrays has facilitated the generation of hundreds of thousands of transcriptomic datasets. The use of a common reference microarray design ...
Mark J. Alston, John Seers, Jay C. D. Hinton, Sach...
GI
2004
Springer
15 years 12 months ago
XML-based Data Integration for Semantic Information Portals
: This paper addresses some classical problems to integrate data sources that are heterogeneous in structure with possibly redundant data along a real world example integrating thr...
Patrick Lehti, Peter Fankhauser, Silvia von Stacke...
BMCBI
2006
143views more  BMCBI 2006»
15 years 6 months ago
Discovering functional gene expression patterns in the metabolic network of Escherichia coli with wavelets transforms
Background: Microarray technology produces gene expression data on a genomic scale for an endless variety of organisms and conditions. However, this vast amount of information nee...
Rainer König, Gunnar Schramm, Marcus Oswald, ...