Detection of microRNA clusters associated with prostate cancer

Translated title of the contribution: Detection of microRNA clusters associated with prostate cancer

Ismail Haberal, Hasan Oğul

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

MicroRNAs (miRNAs) are a class of small non-coding RNAs of 22 nucleotides which normally function as negative regulators of target mRNA expression at the posttran-scriptional level. miRNAs play a role for one or more target genes by suppressing in processes as growth, differentiation, proliferation and cell death. Recent evidence has shown that miRNA mutations or mis-expression correlate with various human cancers and indicates that miRNAs can function as tumour suppressors and oncogenes. MicroRNAs have been shown to repress the expression of important cancer-related genes and might prove useful in the diagnosis and treatment of cancer. In this study, hierarchical microRNA clusters are obtained through microarray expression data in order to analyze the microRNA prostate cancer relationships. Clustering results are evaluated by their biological relevance. It is seen that such approach can be useful in detectitn relationships between microRNAs and diseases.

Original languageTurkish
Title of host publication2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings
PublisherIEEE Computer Society
Pages571-573
Number of pages3
ISBN (Print)9781479948741
DOIs
Publication statusPublished - 2014
Event2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Trabzon, Turkey
Duration: Apr 23 2014Apr 25 2014

Conference

Conference2014 22nd Signal Processing and Communications Applications Conference, SIU 2014
CountryTurkey
CityTrabzon
Period4/23/144/25/14

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Control and Systems Engineering

Cite this

Haberal, I., & Oğul, H. (2014). Detection of microRNA clusters associated with prostate cancer. In 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings (pp. 571-573). [6830293] IEEE Computer Society. https://doi.org/10.1109/SIU.2014.6830293