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» Deriving quantitative models for correlation clusters
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ANTSW
2010
Springer
14 years 7 months ago
Evaluating the Robustness of Activator-Inhibitor Models for Cluster Head Computation
Activator-inhibitor models have been widely used to explain several morphogenetic processes. They have also been used to engineer algorithms for computer graphics, distributed syst...
Lidia Yamamoto, Daniele Miorandi
BIOINFORMATICS
2002
146views more  BIOINFORMATICS 2002»
14 years 9 months ago
A duplication growth model of gene expression networks
Motivation: There has been considerable interest in developing computational techniques for inferring genetic regulatory networks from whole-genome expression profiles. When expre...
Ashish Bhan, David J. Galas, T. Gregory Dewey
ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
16 years 2 months ago
A Markov Clustering Topic Model for Mining Behaviour in Video
This paper addresses the problem of fully automated mining of public space video data. A novel Markov Clustering Topic Model (MCTM) is introduced which builds on existing Dynami...
Timothy Hospedales, Shaogang Gong, Tao Xiang
AUSDM
2007
Springer
173views Data Mining» more  AUSDM 2007»
15 years 3 months ago
The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
Ellen Pitt, Richi Nayak
RECOMB
2005
Springer
15 years 10 months ago
Causal Inference of Regulator-Target Pairs by Gene Mapping of Expression Phenotypes
Background: Correlations between polymorphic markers and observed phenotypes provide the basis for mapping traits in quantitative genetics. When the phenotype is gene expression, ...
David Kulp, Manjunatha Jagalur