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» Unfolding of Microarray Data
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JMLR
2008
209views more  JMLR 2008»
13 years 7 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
JDWM
2007
122views more  JDWM 2007»
13 years 7 months ago
A Hyper-Heuristic for Descriptive Rule Induction
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
Tho Hoan Pham, Tu Bao Ho
NAR
2007
155views more  NAR 2007»
13 years 7 months ago
AthaMap web tools for the analysis and identification of co-regulated genes
The AthaMap database generates a map of cisregulatory elements for the whole Arabidopsis thaliana genome. This database has been extended by new tools to identify common cis-regul...
Claudia Galuschka, Martin Schindler, Lorenz Bü...
BMCBI
2011
13 years 2 months ago
Comparing genotyping algorithms for Illumina's Infinium whole-genome SNP BeadChips
Background: Illumina’s Infinium SNP BeadChips are extensively used in both small and large-scale genetic studies. A fundamental step in any analysis is the processing of raw all...
Matthew E. Ritchie, Ruijie Liu, Benilton Carvalho,...
GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
14 years 1 months ago
Computational intelligence techniques: a study of scleroderma skin disease
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
Julio J. Valdés, Alan J. Barton