http://www.cnr.it/ontology/cnr/individuo/prodotto/ID274237

Hierarchical and Overlapping Co-Clustering of mRNA:miRNA Interactions. (Contributo in atti di convegno)

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Hierarchical and Overlapping Co-Clustering of mRNA:miRNA Interactions. (Contributo in atti di convegno) (literal)

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Gianvito Pio1 and Michelangelo Ceci2 and Corrado Loglisci3 and Domenica D'Elia4 and Donato Malerba5 (2012)
Hierarchical and Overlapping Co-Clustering of mRNA:miRNA Interactions.
in ECAI 2012, 20th European Conference on Artificial Intelligence, Montpellier, France, 27-31/08/2012
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Gianvito Pio1 and Michelangelo Ceci2 and Corrado Loglisci3 and Domenica D'Elia4 and Donato Malerba5 (literal)

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ECAI, the biennial European Conference on Artificial Intelligence, is the leading conference on Artificial Intelligence in Europe. ECAI 2012, the 20th conference in this series, was jointly organized by the European Coordination Committee for Artificial Intelligence (ECCAI), the French Association for Artificial Intelligence (AFIA) and Montpellier Laboratory for Informatics, Robotics and Microelectronics (LIRMM). LIRMM is a research laboratory supervised by both Montpellier University (Université Montpellier 2) and the French National Center for Scientific Research (CNRS). ECAI 2012 gave researchers from all over the world the possibility to identify important new trends and challenges in all subfields of Artificial Intelligence, and provided a major forum for potential users of innovative AI techniques. (literal)

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1 University of Bari, Italy, email: gianvito.pio@uniba.it 2 University of Bari, Italy, email: ceci@di.uniba.it 3 University of Bari, Italy, email: loglisci@di.uniba.it 4 Institute for Biomedical Technologies (Consiglio Nazionale delle Ricerche), Italy, email: domenica.delia@ba.itb.cnr.it 5 University of Bari, Italy, email: malerba@di.uniba.it (literal)

Titolo

Hierarchical and Overlapping Co-Clustering of mRNA:miRNA Interactions. (literal)

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De Raedt, L., Bessiere, C., Dubois, D., Doherty, P., Frasconi, P., Heintz, F., Lucas, P. (literal)

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Abstract

microRNAs (miRNAs) are an important class of regulatory factors controlling gene expression at post-transcriptional level. Studies on interactions between different miRNAs and their target genes are of utmost importance to understand the role of miRNAs in the control of biological processes. This paper contributes to these studies by proposing a method for the extraction of co-clusters of miRNAs and messenger RNAs (mRNAs). Different from several already available co-clustering algorithms, our approach efficiently extracts a set of possibly overlapping, exhaustive and hierarchically organized co-clusters. The algorithm is well-suited for the task at hand since: i) mRNAs and miRNAs can be involved in different regulatory networks that may or may not be co-active under some conditions, ii) exhaustive co-clusters guarantee that possible co-regulations are not lost, iii) hierarchical browsing of co-clusters facilitates biologists in the interpretation of results. Results on synthetic and on real human miRNA:mRNA data show the effectiveness of the approach. (literal)

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