title: ArrayNorm: comprehensive normalization and analysis of microarray data.
abstract: CONCLUSIONS
  ArrayNorm is a user-friendly, versatile and platform-independent Java application for the visualization, normalization and analysis of two-color microarray data. A variety of normalization options were implemented to remove the systematic and random errors in the data, taking into account the experimental design and the particularities of every slide. In addition, ArrayNorm provides a module for statistical identification of genes with significant changes in expression.
  
  
  BACKGROUND
  The package is freely available for academic and non-profit institutions from http://genome.tugraz.at
authors.affiliation: Institute of Genomics and Bioinformatics and Christian Doppler Laboratory for Genomics and Bioinformatics, Graz University of Technology, 8010 Graz, Austria.
authors.forename: R
authors.initials: R
authors.lastname: Pieler
authors.forename: F
authors.initials: F
authors.lastname: Sanchez-Cabo
authors.forename: H
authors.initials: H
authors.lastname: Hackl
authors.forename: G G
authors.initials: GG
authors.lastname: Thallinger
authors.forename: Z
authors.initials: Z
authors.lastname: Trajanoski
mesh_terms: D000465:Algorithms; D020869:Gene Expression Profiling / Q000379:methods* / Q000592:standards; D020407:Internet; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods* / Q000592:standards; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software; D014584:User-Computer Interface