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196
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RECOMB
2004
Springer
16 years 8 months ago
The Statistical Significance of Max-Gap Clusters
Identifying gene clusters, genomic regions that share local similarities in gene organization, is a prerequisite for many different types of genomic analyses, including operon pred...
Rose Hoberman, David Sankoff, Dannie Durand
CLUSTER
2009
IEEE
15 years 11 months ago
Using a cluster as a memory resource: A fast and large virtual memory on MPI
—The 64-bit OS provides ample memory address space that is beneficial for applications using a large amount of data. This paper proposes using a cluster as a memory resource for...
Hiroko Midorikawa, Kazuhiro Saito, Mitsuhisa Sato,...
221
Voted
EMSOFT
2008
Springer
15 years 9 months ago
A generalized static data flow clustering algorithm for mpsoc scheduling of multimedia applications
In this paper, we propose a generalized clustering approach for static data flow subgraphs mapped onto individual processors in Multi-Processor System on Chips (MPSoCs). The goal ...
Joachim Falk, Joachim Keinert, Christian Haubelt, ...
193
Voted
BMCBI
2008
114views more  BMCBI 2008»
15 years 7 months ago
Visualizing and clustering high throughput sub-cellular localization imaging
Background: The expansion of automatic imaging technologies has created a need to be able to efficiently compare and review large sets of image data. To enable comparisons of imag...
Nicholas A. Hamilton, Rohan D. Teasdale
213
Voted
BMCBI
2005
112views more  BMCBI 2005»
15 years 7 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...