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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...
Shranjeno v:
| izdano v: | PLoS Comput Biol |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Public Library of Science
2015
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4704559/ https://ncbi.nlm.nih.gov/pubmed/26624011 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1004614 |
| Oznake: |
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