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» A cluster validity framework for genome expression data
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145
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CIBB
2008
15 years 5 months ago
Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data
The assessment of the reliability of clusters discovered in bio-molecular data is a central issue in several bioinformatics problems. Several methods based on the concept of stabil...
Alberto Bertoni, Giorgio Valentini
118
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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 9 months ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
125
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BMCBI
2008
148views more  BMCBI 2008»
15 years 3 months ago
Discovering biclusters in gene expression data based on high-dimensional linear geometries
Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan
176
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BMCBI
2005
119views more  BMCBI 2005»
15 years 3 months ago
Proceedings of the Second Annual Conference of the MidSouth Computational Biology and Bioinformatics Society
The MCBIOS 2004 conference brought together regional researchers and students in biology, computer science and bioinformatics on October 7th-9th 2004 to present their latest work....
Jonathan D. Wren, William Slikker Jr.
BMCBI
2007
166views more  BMCBI 2007»
15 years 3 months ago
How to decide which are the most pertinent overly-represented features during gene set enrichment analysis
Background: The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlati...
Roland Barriot, David J. Sherman, Isabelle Dutour