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dc.contributor.authorLarriba González, Yolanda 
dc.contributor.authorRueda Sabater, Cristina
dc.contributor.authorFernández Temprano, Miguel A.
dc.contributor.authorPeddada, Shyamal D.
dc.date.accessioned2017-03-31T11:13:21Z
dc.date.available2017-03-31T11:13:21Z
dc.date.issued2016
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/22935
dc.description.abstractThe determination of rhythmic signals in oscillatory systems, such as cell cycle or circadian clock, is essential for biologists to know which genes are associated to the system. While there are several procedures available for this task in the literature, none of them is satisfactory enough. One of the reasons for this is the absence of a good definition of rhythmic signal. We propose a new definition of rhythmic signal using order restrictions and taking into account the needs of the biologists, and an algorithm based on order restricted inference and conditional tests to detect and classify the signals in different groups. We test the algorithm in simulations and with real databases from circadian clock, and compare it with the most usual methods available showing its good performance.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleDetection of rhythmic signals in Oscillatory Systems using order Restricted Inferencees
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.title.event9th International Conference of the ERCIM Working Group on Computational and Methodological Statisticses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International


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