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» A Parallel Algorithm for Gene Expressing Data Biclustering
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BMCBI
2010
164views more  BMCBI 2010»
14 years 10 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
BMCBI
2005
126views more  BMCBI 2005»
15 years 11 days ago
An algorithm for automatic evaluation of the spot quality in two-color DNA microarray experiments
Background: Although DNA microarray technologies are very powerful for the simultaneous quantitative characterization of thousands of genes, the quality of the obtained experiment...
Eugene Novikov, Emmanuel Barillot
BIBM
2009
IEEE
192views Bioinformatics» more  BIBM 2009»
15 years 7 months ago
A Multi-task Feature Selection Filter for Microarray Classification
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...
Liang Lan, Slobodan Vucetic
GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
15 years 6 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
108
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TCBB
2008
116views more  TCBB 2008»
15 years 12 days ago
Inferring Connectivity of Genetic Regulatory Networks Using Information-Theoretic Criteria
Recently, the concept of mutual information has been proposed for inferring the structure of genetic regulatory networks from gene expression profiling. After analyzing the limitat...
Wentao Zhao, Erchin Serpedin, Edward R. Dougherty