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    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/22934

    Título
    A new method for circadian gene identification using order restricted inference
    Autor
    Larriba González, YolandaAutoridad UVA Orcid
    Rueda Sabater, María CristinaAutoridad UVA
    Fernández Temprano, Miguel AlejandroAutoridad UVA Orcid
    Congreso
    International Conference of the ERCIM Working Group on Computational and Methodological Statistics
    Año del Documento
    2015
    Zusammenfassung
    Identification of periodic patterns in gene expression data is important for studying the regulation mechanism of the circadian system. However, the information available is often given by one or two cycles. Consequently, the number of observations is not enough to fit certain models, such as Fourier´s models. Some authors have yet developed procedures or algorithms among which is the JTK_Cycle Algorithm. We propose a new method to address this question based on order restricted inference. Which allows to determine, in terms of an euclidean or circular order, if the gene expression given is or not cyclic. Validation of the method is made by evaluating of real data sets and simulations. Moreover, we compare the results obtained by the method with others detecting methods developed in the literature, mainly with the JTK_Cycle Algorithm.
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/22934
    Derechos
    restrictedAccess
    Aparece en las colecciones
    • DEP24 - Comunicaciones a congresos, conferencias, etc. [18]
    Zur Langanzeige
    Dateien zu dieser Ressource
    Nombre:
    BoA CFE-CMStatistics 2015-164-165.pdf
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    44.62Kb
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