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» Stability and Performances in Biclustering Algorithms
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CIBB
2008
13 years 7 months ago
Stability and Performances in Biclustering Algorithms
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
EVOW
2005
Springer
13 years 10 months ago
Evolutionary Biclustering of Microarray Data
In this work, we address the biclustering of gene expression data with evolutionary computation, which has been proven to have excellent performance on complex problems. In express...
Jesús S. Aguilar-Ruiz, Federico Divina
IDEAL
2007
Springer
13 years 11 months ago
Methods to Bicluster Validation and Comparison in Microarray Data
There are lots of validation indexes and techniques to study clustering results. Biclustering algorithms have been applied in Systems Biology, principally in DNA Microarray analysi...
Rodrigo Santamaría, Luis Quintales, Roberto...
BMCBI
2008
166views more  BMCBI 2008»
13 years 5 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
COCOA
2009
Springer
13 years 9 months ago
Linear Coherent Bi-cluster Discovery via Line Detection and Sample Majority Voting
Discovering groups of genes that share common expression profiles is an important problem in DNA microarray analysis. Unfortunately, standard bi-clustering algorithms often fail t...
Yi Shi, Zhipeng Cai, Guohui Lin, Dale Schuurmans