Abstract
Some non-coding small RNAs, known as microRNAs (miRNAs), have been shown to play important roles in gene regulation and various biological processes. The abnormal expression of some specific miRNA genes often results in the development of cancer. In this paper, we find discriminatory miRNA patterns for cancer classification from miRNA expression profiles. The experimental results show that the expression patterns from a small set of miRNAs are very accurate in prediction. Further, the experimental results also suggest that the expression patterns of these informative miRNAs are conserved in different vertebrates during the evolution process.
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Zheng, Y., Kwoh, C.K. (2006). Informative MicroRNA Expression Patterns for Cancer Classification. In: Li, J., Yang, Q., Tan, AH. (eds) Data Mining for Biomedical Applications. BioDM 2006. Lecture Notes in Computer Science(), vol 3916. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11691730_15
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DOI: https://doi.org/10.1007/11691730_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33104-9
Online ISBN: 978-3-540-33105-6
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