Software Tools and Algorithms for Biological Systems pp 679-688 I Cite as
Analysis and Clustering of Micro RN A Array: AN ew
Efficient and Reliable Co1nputational Method
Authors Authors and affiliations
Luca Sterpone B, Federica Collino, Giovanni Camussi, Claudio Loconsole
Chapter
First Online: 15 March 2011
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Part of the Advances in Experimental Medicine and Biclogy book series (AEMB, volume 696)
Abstract
MicroRNAs (miRNAs) play determinant roles in gene expression and several cellular processes
of mammalian. These processes include differentiation, development, apoptosis, and cancer
pathomechanisms. In detail, miRNAs are known to regulate the expression of keys genes
relevant to cancer and potentially to other diseases [1-3]. MiRNAs are short noncoding RNAs
having a central function in gene expression, since miRNAs are involved in cellular
differentiation processes (4, 5], organism developments [6], and apoptosis. Furthermore,
recent studies provide growing evidence of the contribution of miRNAs in cancer cellular
mechanisms. Therefore, the analysis and the c:irrect identification of miRNAs expression levels
play a key role for better understanding and classifying cancer and other diseases. In parallel
with the drastic growing of interest into the study of miRNAs, the support of systems and tools
that allow an efficient and more robust analysis of miRNA’s expression levels become
increasing mandatory to have a better disease identification.