A data mining library for miRNA annotation and analysis

Angelo Nuzzo, Riccardo Beretta, Francesca Mulas, Valerie Roobrouck, Catherine Verfaillie, Blaz Zupan, Riccardo Bellazzi

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

Abstract

Understanding the key role that miRNAs play in the regulation of gene expression is one of the most important challenges in modern molecular biology. Standard gene set enrichment analysis (GSEA) is not appropriate in this context, due to the low specificity of the relation between miRNAs and their target genes. We developed alternative strategies to gain better insights in the differences in biological processes involved in different experimental conditions. We here describe a novel method to analyze and interpret miRNA expression data correctly, and demonstrate that annotating miRNA directly to biological processes through their target genes (which is nevertheless the only way possible) is a non-trivial task. We are currently employing the same strategy to relate miRNA expression patterns directly to pathway information, to generate new hypotheses, which may be relevant for the interpretation of their role in the gene expression regulatory processes.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages80-84
Number of pages5
Volume6747 LNAI
DOIs
Publication statusPublished - 2011
Event13th Conference on Artificial Intelligence in Medicine, AIME 2011 - Bled, Slovenia
Duration: Jul 2 2011Jul 6 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6747 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other13th Conference on Artificial Intelligence in Medicine, AIME 2011
CountrySlovenia
CityBled
Period7/2/117/6/11

Keywords

  • annotation tools
  • Data Mining
  • miRNA analysis

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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