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Network Properties for Ranking Predicted miRNA Targets in Breast Cancer
Leibniz-Institute for Natural Product Research and Infection Biology.
University of Skövde, The Systems Biology Research Centre. University of Skövde, School of Life Sciences.
University of Skövde, The Systems Biology Research Centre. University of Skövde, School of Life Sciences.
2009 (English)In: Advances in Bioinformatics, ISSN 1687-8027, E-ISSN 1687-8035, p. Article ID 182689-Article in journal (Refereed) Published
Abstract [en]

MicroRNAs control the expression of their target genes by translational repression and transcriptional cleavage. They are involved in various biological processes including development and progression of cancer. To uncover the biological role of miRNAs it is important to identify their target genes. The small number of experimentally validated target genes makes computer prediction methods very important. However, state-of-the-art prediction tools result in a great number of putative targets with an unpredictable number of false positives. In this paper, we propose and evaluate two approaches for ranking the biological relevance of putative targets of miRNAs which are associated with breast cancer.

Place, publisher, year, edition, pages
Hindawi Publishing Corporation, 2009. p. Article ID 182689-
National Category
Natural Sciences
Research subject
Natural sciences
Identifiers
URN: urn:nbn:se:his:diva-4314DOI: 10.1155/2009/182689PubMedID: 20224638OAI: oai:DiVA.org:his-4314DiVA, id: diva2:345260
Available from: 2010-08-24 Created: 2010-08-24 Last updated: 2017-12-12Bibliographically approved

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Publisher's full textPubMedhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC2833297/

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Olsson, BjörnLubovac, Zelmina

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