title: MACAT--microarray chromosome analysis tool.
abstract: By linking differential gene expression to the chromosomal localization of genes, one can investigate microarray data for characteristic patterns of expression phenomena involving sizeable parts of specific chromosomes. We have implemented a statistical approach for identifying significantly differentially expressed chromosome regions. We demonstrate the applicability of the approach on a publicly available data set on acute lymphocytic leukemia.
  
  
  BACKGROUND
  The R-package MACAT can be obtained from http://www.compdiag.molgen.mpg.de/software/macat.shtml
  
  
  BACKGROUND
  http://www.compdiag.molgen.mpg.de/software/macat.shtml.
authors.affiliation: Freie Universitaet Berlin, Bioinformatics programme and Max Planck Institute for Molecular Genetics, Germany.
authors.forename: Joern
authors.initials: J
authors.lastname: Toedling
authors.forename: Sebastian
authors.initials: S
authors.lastname: Schmeier
authors.forename: Matthias
authors.initials: M
authors.lastname: Heinig
authors.forename: Benjamin
authors.initials: B
authors.lastname: Georgi
authors.forename: Stefan
authors.initials: S
authors.lastname: Roepcke
mesh_terms: D000465:Algorithms; D002874:Chromosome Mapping / Q000379:methods*; D003198:Computer Simulation; D020869:Gene Expression Profiling / Q000379:methods*; D005787:Gene Frequency; D015810:Linkage Disequilibrium / Q000235:genetics; D008957:Models, Genetic; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012984:Software