title: Gene-Ontology-based clustering of gene expression data.
abstract: The expected correlation between genetic co-regulation and affiliation to a common biological process is not necessarily the case when numerical cluster algorithms are applied to gene expression data. GO-Cluster uses the tree structure of the Gene Ontology database as a framework for numerical clustering, and thus allowing a simple visualization of gene expression data at various levels of the ontology tree.
  
  
  BACKGROUND
  The 32-bit Windows application is freely available at http://www.mpibpc.mpg.de/go-cluster/
authors.affiliation: Department of Molecular Developmental Biology, Max-Planck-Institute for Biophysical Chemistry, 37077 Göttingen, Germany. boris.adryan@mpi-bpc.mpg.de
authors.forename: Boris
authors.initials: B
authors.lastname: Adryan
authors.forename: Reinhard
authors.initials: R
authors.lastname: Schuh
mesh_terms: D016000:Cluster Analysis; D003628:Database Management Systems; D030562:Databases, Protein; D004282:Documentation / Q000379:methods; D020869:Gene Expression Profiling / Q000379:methods*; D011506:Proteins / Q000737:chemistry / Q000145:classification* / Q000378:metabolism*; D012984:Software; D009626:Terminology as Topic; D014584:User-Computer Interface
chemical_list: D011506:Proteins