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    Citas

    Título
    Statistical Series: Opportunities and challenges of sperm motility subpopulation analysis
    Autor
    Martínez Pastor, FelipeAutoridad BuleriaORCID
    Tizado Morales, Emilio JorgeAutoridad BuleriaORCID
    Garde López-Brea, Julián
    Anel Rodríguez, LuisAutoridad BuleriaORCID
    Paz Cabello, Paulino deAutoridad BuleriaORCID
    Facultad/Centro
    Facultad de Ciencias Biologicas y Ambientales
    Área de conocimiento
    Biologia Celular
    Datos de la obra
    Theriogenology, 2011, vol. 75, n. 5
    Editor
    Elsevier
    Fecha
    2011-03-15
    Abstract
    Computer-assisted sperm analysis (CASA) allows assessing the motility of individual spermatozoa, generating huge datasets. These datasets can be analyzed using data mining techniques such as cluster analysis, to group the spermatozoa in subpopulations with biological meaning. This review considers the use of statistical techniques for clustering CASA data, their challenges and possibilities. There are many clustering approaches potentially useful for grouping sperm motility data, but some options may be more appropriate than others. Future development should focus not only in improvements of subpopulation analysis, but also in finding consistent biological meanings for these subpopulations.
    Materia
    Veterinaria
    Palabras clave
    CASA
    Automated semen analysis
    Sperm subpopulations
    Multivariate analysis
    Cluster analysis
    Peer review
    SI
    URI
    http://hdl.handle.net/10612/10572
    Versión del editor
    https://www.sciencedirect.com/science/article/pii/S0093691X10006278#!
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