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Automated annotation of gene expression image sequences via non-parametric factor analysis and conditional random fields

Motivation: Computational approaches for the annotation of phenotypes from image data have shown promising results across many applications, and provide rich and valuable information for studying gene function and interactions. While data are often available both at high spatial resolution and acros...

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Detalles Bibliográficos
Autores principales: Pruteanu-Malinici, Iulian, Majoros, William H., Ohler, Uwe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3694682/
https://www.ncbi.nlm.nih.gov/pubmed/23812993
http://dx.doi.org/10.1093/bioinformatics/btt206

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