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» Cross-Platform Analysis with Binarized Gene Expression Data
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BMCBI
2004
106views more  BMCBI 2004»
13 years 8 months ago
Spotting effect in microarray experiments
Background: Microarray data must be normalized because they suffer from multiple biases. We have identified a source of spatial experimental variability that significantly affects...
Tristan Mary-Huard, Jean-Jacques Daudin, Sté...
BMCBI
2005
161views more  BMCBI 2005»
13 years 8 months ago
Non-linear mapping for exploratory data analysis in functional genomics
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
Francisco Azuaje, Haiying Wang, Alban Chesneau
GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
14 years 2 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
BMCBI
2008
148views more  BMCBI 2008»
13 years 8 months ago
BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments
Summary: BATS is a user-friendly software for Bayesian Analysis of Time Series microarray experiments based on the novel, truly functional and fully Bayesian approach proposed in ...
Claudia Angelini, Luisa Cutillo, Daniela De Candit...
AIIA
2005
Springer
14 years 2 months ago
Towards Fault-Tolerant Formal Concept Analysis
Given Boolean data sets which record properties of objects, Formal Concept Analysis is a well-known approach for knowledge discovery. Recent application domains, e.g., for very lar...
Ruggero G. Pensa, Jean-François Boulicaut