MiRaGE: Inference of gene expression regulation via microRNA transfection II

Y. H. Taguchi, Jun Yasuda

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

2 Citations (Scopus)

Abstract

How each microRNA regulates gene expression is unknown problem. Especially, which gene is targeted by each microRNA is mainly depicted via computational method, typically without biological/ experimental validations. In this paper, we propose a new computational method, MiRaGE, to detect gene expression regulation via miRNAs by the use of expression profile data and miRNA target prediction. This method is tested to miRNA transfection experiments to tumor cells and succeeded in inference of transfected miRNA as only one miRNA with significant P-values for the first time.

Original languageEnglish
Title of host publicationBio-Inspired Computing and Applications - 7th International Conference on Intelligent Computing, ICIC 2011, Revised Selected Papers
Pages129-135
Number of pages7
DOIs
Publication statusPublished - 2011
Event7th International Conference on Intelligent Computing, ICIC 2011 - Zhengzhou, China
Duration: 2011 Aug 112011 Aug 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6840 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Intelligent Computing, ICIC 2011
CountryChina
CityZhengzhou
Period11/8/1111/8/14

Keywords

  • MicroRNA
  • computational inference
  • target genes
  • tumor

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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