Quality control in microarray assessment of gene expression in human airway epithelium Academic Article uri icon

Overview

MeSH Major

  • Gene Expression Profiling
  • Oligonucleotide Array Sequence Analysis
  • Respiratory Mucosa

abstract

  • Based on the aberrant maintenance gene data generated from samples failing the established QC criteria, we propose that the QC criteria outlined in this study can accurately distinguish high quality from low quality data, and can be used to delete poor quality microarray samples before proceeding to higher-order biological analyses and interpretation.

publication date

  • October 24, 2009

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC2774870

Digital Object Identifier (DOI)

  • 10.1186/1471-2164-10-493

PubMed ID

  • 19852842

Additional Document Info

start page

  • 493

volume

  • 10