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» Two-phase clustering strategy for gene expression data sets
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ICDE
2011
IEEE
258views Database» more  ICDE 2011»
13 years 2 months ago
SystemML: Declarative machine learning on MapReduce
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....
BMCBI
2010
155views more  BMCBI 2010»
13 years 11 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe
BMCBI
2005
163views more  BMCBI 2005»
13 years 10 months ago
Alkahest NuclearBLAST: a user-friendly BLAST management and analysis system
Background -: Sequencing of EST and BAC end datasets is no longer limited to large research groups. Drops in per-base pricing have made high throughput sequencing accessible to in...
Stephen E. Diener, Thomas D. Houfek, Sam E. Kalat,...
EDBT
2009
ACM
106views Database» more  EDBT 2009»
14 years 2 months ago
AlphaSum: size-constrained table summarization using value lattices
Consider a scientist who wants to explore multiple data sets to select the relevant ones for further analysis. Since the visualization real estate may put a stringent constraint o...
K. Selçuk Candan, Huiping Cao, Yan Qi 0002,...