Reliability of miRNA microarray platforms: An approach based on random effects linear models

Niccolò Bassani, Federico Ambrogi, Cristina Battaglia, Elia Biganzoli

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

Abstract

MiRNAs are short ribonucleic acid (RNA) molecules, acting as post-transcriptional regulators. Intensity levels of thousand of miRNAs are commonly measured via microarray platforms,with pros and cons similar to those for gene expression arrays. Data reliability for miRNA microarrays is a crucial point to obtain correct estimates of miRNA intensity, and maximizing biological relative to technical variability is a task that has to be properly addressed. To such aim, random effects models provide a powerful instrument to characterize different sources of variability. Here we evaluated repeatability of Affymetrix Gene Chip

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages61-72
Number of pages12
Volume7548 LNBI
DOIs
Publication statusPublished - 2012
Event8th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2011 - Gargnano del Garda, Italy
Duration: Jun 30 2011Jul 2 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7548 LNBI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other8th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2011
Country/TerritoryItaly
CityGargnano del Garda
Period6/30/117/2/11

Keywords

  • MiRNA
  • Random effects
  • Reliability
  • Technical variation
  • Variance components

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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