title: Analysis of large-scale gene expression data.
abstract: DNA microarray technology has resulted in the generation of large complex data sets, such that the bottleneck in biological investigation has shifted from data generation, to data analysis. This review discusses some of the algorithms and tools for the analysis and organisation of microarray expression data, including clustering methods, partitioning methods, and methods for correlating expression data to other biological data.
authors.affiliation: Department of Genetics, Stanford University Medical Center, CA 94306-5120, USA. sherlock@genome.stanford.edu
authors.forename: G
authors.initials: G
authors.lastname: Sherlock
mesh_terms: D000465:Algorithms; D003627:Data Interpretation, Statistical; D005544:Forecasting; D020869:Gene Expression Profiling; D020411:Oligonucleotide Array Sequence Analysis; D025341:Principal Component Analysis