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A multiresolution approach to automated classification of protein subcellular location images
BACKGROUND: Fluorescence microscopy is widely used to determine the subcellular location of proteins. Efforts to determine location on a proteome-wide basis create a need for automated methods to analyze the resulting images. Over the past ten years, the feasibility of using machine learning methods...
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| Main Authors: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2007
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1933440/ https://ncbi.nlm.nih.gov/pubmed/17578580 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-210 |
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