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Automated Analysis of Human Protein Atlas Immunofluorescence Images
The Human Protein Atlas is a rich source of location proteomics data. In this work, we present an automated approach for processing and classifying major subcellular patterns in the Atlas images. We demonstrate that two different classification frameworks (support vector machine and random forest) a...
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2009
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2901900/ https://ncbi.nlm.nih.gov/pubmed/20628548 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2009.5193229 |
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