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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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Détails bibliographiques
Auteurs principaux: Pruteanu-Malinici, Iulian, Mace, Daniel L., Ohler, Uwe
Format: Artigo
Langue:Inglês
Publié: Public Library of Science 2011
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3140966/
https://ncbi.nlm.nih.gov/pubmed/21814502
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1002098
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