Biclustering is an unsupervised machine learning technique that searches patterns in gene expression data matrices. A scatter search-based biclustering ...
A scatter search-based biclustering algorithm that integrates biological information is proposed in this paper. In addition to the gene expression data matrix, ...
Gene expression data analysis is based on the assumption that co-expressed genes imply co-regulated genes. This assumption is being reformulated because the ...
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May 1, 2015 · Biclustering is an unsupervised machine learning technique that searches patterns in gene expression data matrices. A scatter search-based ...
Integrating biological knowledge based on functional annotations for biclustering of gene expression data. Nepomuceno, J.A.; Troncoso, A.
Apr 23, 2016 · Integrating biological knowledge based on functional annotations for biclustering of gene expression data. Overview of attention for article ...
Integrating biological knowledge based on functional annotations for biclustering of gene expression data. scientific article published on 18 March 2015.
Abstract. Biclustering is an unsupervised machine learning technique that simultaneously clusters genes and conditions in gene expression data.
Biclustering is an unsupervised machine learning technique that simultaneously clusters genes and conditions in gene expression data. Gene Ontology (GO) is ...
Mar 27, 2018 · The proposed algorithm integrates biological information to search biclusters in gene expression data. A fitness function that characterizes ...