title: L2L: a simple tool for discovering the hidden significance in microarray expression data.
abstract: L2L is a database consisting of lists of differentially expressed genes compiled from published mammalian microarray studies, along with an easy-to-use application for mining the database with the user's own microarray data. As illustrated by re-analysis of a recent study of diabetic nephropathy, L2L identifies novel biological patterns in microarray data, providing insights into the underlying nature of biological processes and disease. L2L is available online at the authors' website [http://depts.washington.edu/l2l/].
authors.affiliation: Department of Biochemistry, University of Washington, Seattle, WA 98115, USA. newmanj@u.washington.edu
authors.forename: John C
authors.initials: JC
authors.lastname: Newman
authors.forename: Alan M
authors.initials: AM
authors.lastname: Weiner
mesh_terms: D000375:Aging / Q000235:genetics; D000818:Animals; D030541:Databases, Genetic; D003928:Diabetic Nephropathies / Q000235:genetics; D005786:Gene Expression Regulation; D023281:Genomics; D006801:Humans; D020407:Internet; D020411:Oligonucleotide Array Sequence Analysis; D015203:Reproducibility of Results; D014584:User-Computer Interface