Automated Learning of Subcellular Variation among Punctate Protein Patterns and a Generative Model of Their Relation to Microtubules

Characterizing the spatial distribution of proteins directly from microscopy images is a difficult problem with numerous applications in cell biology (e.g. identifying motor-related proteins) and clinical research (e.g. identification of cancer biomarkers). Here we describe the design of a system th...

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Detalles Bibliográficos
Autores principales: Johnson, Gregory R., Li, Jieyue, Shariff, Aabid, Rohde, Gustavo K., Murphy, Robert F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704559/
https://www.ncbi.nlm.nih.gov/pubmed/26624011
http://dx.doi.org/10.1371/journal.pcbi.1004614

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704559/
https://www.ncbi.nlm.nih.gov/pubmed/26624011
http://dx.doi.org/10.1371/journal.pcbi.1004614

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