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Artículo
Biclustering on expression data: A review
(Elsevier, 2015)
Biclustering has become a popular technique for the study of gene expression data, especially for discovering functionally related gene sets under different subsets of experimental conditions. Most of biclustering approaches ...
Artículo
Scatter search-based identification of local patterns with positive and negative correlations in gene expression data
(Elsevier, 2015)
This paper presents a scatter search approach based on linear correlations among genes to find biclusters, which include both shifting and scaling patterns and negatively correlated patterns contrarily to most ...
Artículo
An effective measure for assessing the quality of biclusters
(Elsevier, 2012)
Biclustering is becoming a popular technique for the study of gene expression data. This is mainly due to the capability of biclustering to address the data using various dimensions simultaneously, as opposed to clustering, ...