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Enumerating All Maximal Biclusters In Numerical Datasets
(Elsevier Science INCNew York, 2017)
A systematic comparative evaluation of biclustering techniques
(BioMed Central, 2017)
Abstract
Background
Biclustering techniques are capable of simultaneously clustering rows and columns of a data matrix. These techniques became very popular for the analysis ...
Complete computation in subquadratic time of a new generic type of bicluster in dense and sparse matrices
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃOPrograma de Pós-Graduação em Ciência da ComputaçãoUFMG, 2021-04-16)
Biclustering é uma técnica definida como a clusterização simultânea de linhas e colunas
de uma matriz de dados. Dada uma matriz real m-por-n, esse trabalho define um
novo tipo de bicluster: em qualquer uma de suas colunas, ...
On Evolutionary Algorithms for Biclustering of Gene Expression Data
(Bentham Science Publishers, 2015-07)
Past decades have seen the rapid development of microarray technologies making available large amounts of gene expression data. Hence, has become increasingly important to count with reliable methods that interpret this ...
Nueva Metodología Para Clasificar Datos de Series Temporales usando el Algoritmo Biclustering
(Universidad EAFITGrupo de Investigación Modelado MatemáticoEscuela de Ciencias, 2013)
On Bicluster Aggregation And Its Benefits For Enumerative Solutions
(SPRINGER-VERLAG BERLINBERLIN, 2015)
BiHEA: A hybrid evolutionary approach for microarray biclustering
(Springer, 2009-07)
In this paper a new hybrid approach that integrates an evolutionary algorithm with local search for microarray biclustering is presented. The novelty of this proposal is constituted by the incorporation of two mechanisms: ...