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BMCBI
2010
151views more  BMCBI 2010»
15 years 6 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
BMCBI
2006
117views more  BMCBI 2006»
15 years 6 months ago
The Cluster Variation Method for Efficient Linkage Analysis on Extended Pedigrees
Background: Computing exact multipoint LOD scores for extended pedigrees rapidly becomes infeasible as the number of markers and untyped individuals increase. When markers are exc...
Cornelis A. Albers, Martijn A. R. Leisink, Hilbert...
IPPS
2009
IEEE
16 years 26 days ago
CellMR: A framework for supporting mapreduce on asymmetric cell-based clusters
The use of asymmetric multi-core processors with onchip computational accelerators is becoming common in a variety of environments ranging from scientific computing to enterprise...
M. Mustafa Rafique, Benjamin Rose, Ali Raza Butt, ...
CLUSTER
2006
IEEE
15 years 6 months ago
Performance of parallel communication and spawning primitives on a Linux cluster
The Linux cluster considered in this paper, formed from shuttle box XPC nodes with 2 GHz Athlon processors connected by dual Gb Ethernet switches, is relatively easily constructed...
David J. Johnston, Martin Fleury, Michael Lincoln,...
BMCBI
2004
208views more  BMCBI 2004»
15 years 6 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov