title: Large-scale analysis of gene expression profiles.
abstract: The accumulation of DNA microarray data has now made it possible to use gene expression profiles to analyse expression data. A gene expression profile contains the expression data for a given gene over various samples, and can be contrasted with an expression signature, which contains the expression data for a single sample. Gene expression profiles are most revealing when samples are grouped appropriately, either by standard clinical or pathological categories or by categories discovered through cluster analysis techniques. Expression profiles can exist at various levels of abstraction, yielding information across various tissues or across diseases within a particular tissue. Hypothesis tests may be applied to expression profiles on a large scale to identify candidate genes of interest.
authors: Department of Bioinformatics, Genetech Inc, South San Francisco, CA 94080, USA. twu@gene.com
authors: Thomas D
authors: TD
authors: Wu
mesh_terms: D016000:Cluster Analysis; D020869:Gene Expression Profiling; D020411:Oligonucleotide Array Sequence Analysis