Automatic annotation of spatial expression patterns via sparse Bayesian factor models.

Advances in reporters for gene expression have made it possible to document and quantify expression patterns in 2D-4D. In contrast to microarrays, which provide data for many genes but averaged and/or at low resolution, images reveal the high spatial dynamics of gene expression. Developing computati...

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Bibliographic Details
Main Authors: Iulian Pruteanu-Malinici, Daniel L Mace, Uwe Ohler
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-07-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC3140966?pdf=render