Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/86867
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Type: Book chapter
Title: Discovering functional microRNA-mRNA regulatory modules in heterogeneous data
Author: Liu, B.
Liu, L.
Tsykin, A.
Goodall, G.
Cairns, M.
Li, J.
Citation: MicroRNA cancer regulation: advanced concepts, bioinformatics and systems biology tools, 2013 / Schmitz, U., Wolkenhauer, O., Vera, J. (ed./s), vol.774, Ch.14, pp.267-290
Publisher: Springer
Issue Date: 2013
Series/Report no.: Advances in Experimental Medicine and Biology
ISBN: 9789400755895
Editor: Schmitz, U.
Wolkenhauer, O.
Vera, J.
Statement of
Responsibility: 
Bing Liu, Lin Liu, Anna Tsykin, Gregory J. Goodall, Murray J. Cairns, and Jiuyong Lics
Abstract: microRNAs (miRNAs) are small non-coding RNAs that cause mRNA degradation and translation inhibition. They are pivotal regulators of development and cellular homeostasis through their control of diverse processes. Recently, great efforts have been made to elucidate many targets that are affected by miRNAs, but the functions of most miRNAs and their precise regulatory mechanisms remain elusive. With more and more matched expression profiles of miRNAs and mRNAs having been made available, it is of great interest to utilize both expression profiles and sequence information to discover the functional regulatory networks of miRNAs and their target mRNAs for potential biological processes that they may participate in. In this chapter, we first briefly review the computational methods for discovering miRNA targets and miRNA-mRNA regulatory modules, and then focus on a method of identifying functional miRNA-mRNA regulatory modules by integrating multiple data sets from different sources.
Keywords: miRNAs; Functional miRNA-mRNA regulatory modules (FMRMs); Corr-LDA; Cancer; Microarray
Rights: © Springer Science+Business Media Dordrecht 2013
DOI: 10.1007/978-94-007-5590-1_14
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