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Aro: a machine learning approach to identifying single molecules and estimating classification error in fluorescence microscopy images

BACKGROUND: Recent techniques for tagging and visualizing single molecules in fixed or living organisms and cell lines have been revolutionizing our understanding of the spatial and temporal dynamics of fundamental biological processes. However, fluorescence microscopy images are often noisy, and it...

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Detalhes bibliográficos
Publicado no:BMC Bioinformatics
Main Authors: Wu, Allison Chia-Yi, Rifkin, Scott A
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4450985/
https://ncbi.nlm.nih.gov/pubmed/25880543
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-015-0534-z
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