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» Discovering Conditional Functional Dependencies
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SIAMJO
2002
99views more  SIAMJO 2002»
13 years 9 months ago
Active Sets, Nonsmoothness, and Sensitivity
Nonsmoothness pervades optimization, but the way it typically arises is highly structured. Nonsmooth behavior of an objective function is usually associated, locally, with an activ...
A. S. Lewis
BMCBI
2006
170views more  BMCBI 2006»
13 years 10 months ago
Biclustering of gene expression data by non-smooth non-negative matrix factorization
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
Pedro Carmona-Saez, Roberto D. Pascual-Marqui, Fra...
CSB
2004
IEEE
164views Bioinformatics» more  CSB 2004»
14 years 1 months ago
Biclustering in Gene Expression Data by Tendency
The advent of DNA microarray technologies has revolutionized the experimental study of gene expression. Clustering is the most popular approach of analyzing gene expression data a...
Jinze Liu, Jiong Yang, Wei Wang 0010
BMCBI
2005
145views more  BMCBI 2005»
13 years 10 months ago
CAGER: classification analysis of gene expression regulation using multiple information sources
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
Jianhua Ruan, Weixiong Zhang
MOR
2006
60views more  MOR 2006»
13 years 10 months ago
Measure-Valued Differentiation for Stationary Markov Chains
: We study general state-space Markov chains that depend on a parameter, say, . Sufficient conditions are established for the stationary performance of such a Markov chain to be di...
Bernd Heidergott, Arie Hordijk, Heinz Weisshaupt