title: Visualization of expression clusters using Sammon's non-linear mapping.
abstract: A method of exploratory analysis and visualization of multi-dimensional gene expression data using Sammon's Non-Linear Mapping (NLM) is presented.
authors.affiliation: Carnegie Institution of Washington, Department of Plant Biology, 260 Panama Street, Stanford, CA 94305, USA. ewing@genome.stanford.edu
authors.forename: R M
authors.initials: RM
authors.lastname: Ewing
authors.forename: J M
authors.initials: JM
authors.lastname: Cherry
mesh_terms: D017360:Arabidopsis / Q000235:genetics; D002874:Chromosome Mapping; D016000:Cluster Analysis; D019295:Computational Biology; D015870:Gene Expression; D020869:Gene Expression Profiling / Q000706:statistics & numerical data*; D017343:Genes, Plant; D017711:Nonlinear Dynamics; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data; D012984:Software