Abstract
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/ ].
Keywords
Microarray databasesMicroarray analysis techniquesMicroarrayComputer scienceGene chip analysisData miningData scienceBioinformaticsBiologyGene expressionGeneGenetics
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Publication Info
- Year
- 2005
- Type
- article
- Volume
- 6
- Issue
- 9
- Pages
- R81-R81
- Citations
- 124
- Access
- Closed
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Cite This
John C. Newman,
Alan M. Weiner
(2005).
L2L: a simple tool for discovering the hidden significance in microarray expression data.
Genome biology
, 6
(9)
, R81-R81.
https://doi.org/10.1186/gb-2005-6-9-r81
Identifiers
- DOI
- 10.1186/gb-2005-6-9-r81