A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes

Author:

Pio Gianvito,Ceci Michelangelo,D'Elia Domenica,Loglisci Corrado,Malerba Donato

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Reference45 articles.

1. Cui Q, Yu Z, Purisima E, Wang E: Principles of microRNA regulation of a human cellular signaling network. Mol Syst Biol. 2006, 46 (2):

2. Place R, Li L, Pookot D, Noonan E, Dahiya R: MicroRNA-373 induces expression of genes with complementary promoter sequences. Proc Natl Acad Sci USA. 2008, 105 (5): 1608-13. 10.1073/pnas.0707594105.

3. Wilfred Bernard R, Wang-Xia W, Nelson PT: Energizing miRNA research: A review of the role of miRNAs in lipid metabolism, with a prediction that miR-103/107 regulates human metabolic pathways. Mol Genet Metab. 2007

4. Cordero F, Pensa RG, Visconti A, Ienco D, Botta M: Ontology-Driven Co-clustering of Gene Expression Data. Proc of AI*IA 2009. 2009, LNCS, 426-435.

5. Caldas J, Kaski S: Hierarchical Generative Biclustering for MicroRNA Expression Analysis. Research in Computational Molecular Biology, Volume 6044 of LNCS. 2010, 65-79.

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