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Artículo
CarGene: Characterisation of sets of genes based on metabolic pathways analysis
(Inderscience, 2011)
The great amount of biological information provides scientists with an incomparable framework for testing the results of new algorithms. Several tools have been developed for analysing gene-enrichment and most of them ...
Artículo
Integrating biological knowledge based on functional annotations for biclustering of gene expression data
(Elsevier, 2015)
Gene expression data analysis is based on the assumption that co-expressed genes imply co-regulated genes. This assumption is being reformulated because the co-expression of a group of genes may be the result of an ...
Artículo
Building Transcriptional Association Networks in Cytoscape with RegNetC
(IEEE Computer Society, 2015)
The Regression Network plugin for Cytoscape (RegNetC) implements the RegNet algorithm for the inference of transcriptional association network from gene expression profiles. This algorithm is a model tree-based method ...
Artículo
Pairwise gene GO-based measures for biclustering of high-dimensional expression data
(BMC: part of Springer Verlag, 2018)
Background: Biclustering algorithms search for groups of genes that share the same behavior under a subset of samples in gene expression data. Nowadays, the biological knowledge available in public repositories can be ...
Artículo
Inferring gene regression networks with model trees
(BioMed Central, 2010)
Background: Novel strategies are required in order to handle the huge amount of data produced by microarray technologies. To infer gene regulatory networks, the first step is to find direct regulatory relationships ...
Artículo
Prognostic transcriptional association networks: a new supervised approach based on regression trees
(Oxford Academic, 2011)
Motivation: The application of information encoded in molecular networks for prognostic purposes is a crucial objective of systems biomedicine. This approach has not been widely investigated in the cardiovascular research ...