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» Gene Expression Clustering with Functional Mixture Models
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PVLDB
2008
182views more  PVLDB 2008»
13 years 7 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
IV
2008
IEEE
296views Visualization» more  IV 2008»
14 years 2 months ago
Revealing Subnetwork Roles using Contextual Visualization: Comparison of Metabolic Networks
This article is addressing a recurrent problem in biology: mining newly built large scale networks. Our approach consists in comparing these new networks to well known ones. The v...
Romain Bourqui, Fabien Jourdan
CCGRID
2008
IEEE
14 years 2 months ago
Admission Control in a Computational Market
We propose, implement and evaluate three admission models for computational Grids. The models take the expected demand into account and offer a specific performance guarantee. Th...
Thomas Sandholm, Kevin Lai, Scott H. Clearwater
BIBE
2008
IEEE
160views Bioinformatics» more  BIBE 2008»
14 years 2 months ago
Parallel integration of heterogeneous genome-wide data sources
— Heterogeneous genome-wide data sources capture information on various aspects of complex biological systems. For instance, transcriptome, interactome and phenome-level informat...
Derek Greene, Kenneth Bryan, Padraig Cunningham
BMCBI
2010
202views more  BMCBI 2010»
13 years 8 months ago
NeMo: Network Module identification in Cytoscape
Background: As the size of the known human interactome grows, biologists increasingly rely on computational tools to identify patterns that represent protein complexes and pathway...
Corban G. Rivera, Rachit Vakil, Joel S. Bader