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» The distributed breakout algorithms
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179
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FGCN
2008
IEEE
155views Communications» more  FGCN 2008»
15 years 8 months ago
Modeling the Marginal Distribution of Gene Expression with Mixture Models
We report the results of fitting mixture models to the distribution of expression values for individual genes over a broad range of normal tissues, which we call the marginal expr...
Edward Wijaya, Hajime Harada, Paul Horton
185
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INTERNET
2006
157views more  INTERNET 2006»
15 years 6 months ago
Distributed Data Mining in Peer-to-Peer Networks
Distributed data mining deals with the problem of data analysis in environments with distributed data, computing nodes, and users. Peer-to-peer computing is emerging as a new dist...
Souptik Datta, Kanishka Bhaduri, Chris Giannella, ...
225
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PC
2000
115views Management» more  PC 2000»
15 years 6 months ago
Rate of change load balancing in distributed and parallel systems
Dynamic Load Balancing is an important system function destined to distribute workload among available processors to improve throughput and/or execution times of parallel computer...
Luis Miguel Campos, Isaac D. Scherson
198
Voted
IPPS
2009
IEEE
16 years 1 months ago
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Kamesh Madduri, David A. Bader
IPPS
2008
IEEE
16 years 1 months ago
Parallelized preprocessing algorithms for high-density oligonucleotide arrays
Studies of gene expression using high-density oligonucleotide microarrays have become standard in a variety of biological contexts. The data recorded using the microarray techniqu...
Markus Schmidberger, Ulrich Mansmann