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Analysis of Flow Cytometry Data by Matrix Relevance Learning Vector Quantization

Flow cytometry is a widely used technique for the analysis of cell populations in the study and diagnosis of human diseases. It yields large amounts of high-dimensional data, the analysis of which would clearly benefit from efficient computational approaches aiming at automated diagnosis and decisio...

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Detalles Bibliográficos
Autores principales: Biehl, Michael, Bunte, Kerstin, Schneider, Petra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3601077/
https://www.ncbi.nlm.nih.gov/pubmed/23527184
http://dx.doi.org/10.1371/journal.pone.0059401

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