title: Automated Microarray Image Analysis Toolbox for MATLAB.
abstract: The Automated Microarray Image Analysis (AMIA) Toolbox for MATLAB is a flexible, open-source, microarray image analysis tool that allows the user to customize analyses of microarray image sets. This tool provides several methods to identify and quantify spot statistics, as well as extensive diagnostic statistics and images to evaluate data quality and array processing. The open, modular nature of AMIA provides access to implementation details and encourages modification and extension of AMIA's capabilities.
  
  
  BACKGROUND
  The AMIA Toolbox is freely available at http://www.pnl.gov/statistics/amia. The AMIA Toolbox requires MATLAB 6.5 (R13) (MathWorks, Inc. Natick, MA), as well as the Statistics Toolbox 4.1 and Image Processing Toolbox 4.1 for MATLAB or more recent versions.
  
  
  BACKGROUND
  amanda.white@pnl.gov
authors.affiliation: Statistical Sciences, Pacific Northwest National Laboratory, Richland, WA 99352, USA. amanda.white@pnl.gov
authors.forename: Amanda M
authors.initials: AM
authors.lastname: White
authors.forename: Don S
authors.initials: DS
authors.lastname: Daly
authors.forename: Alan R
authors.initials: AR
authors.lastname: Willse
authors.forename: Miroslava
authors.initials: M
authors.lastname: Protic
authors.forename: Darrell P
authors.initials: DP
authors.lastname: Chandler
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D020869:Gene Expression Profiling / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D017404:In Situ Hybridization, Fluorescence / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods; D011381:Programming Languages; D012984:Software