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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Detalles Bibliográficos
Autores principales: Chebira, Amina, Barbotin, Yann, Jackson, Charles, Merryman, Thomas, Srinivasa, Gowri, Murphy, Robert F, Kovačević, Jelena
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933440/
https://www.ncbi.nlm.nih.gov/pubmed/17578580
http://dx.doi.org/10.1186/1471-2105-8-210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933440/
https://www.ncbi.nlm.nih.gov/pubmed/17578580
http://dx.doi.org/10.1186/1471-2105-8-210

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