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<dc:creator>Larriba González, Yolanda</dc:creator>
<dc:creator>Rueda Sabater, María Cristina</dc:creator>
<dc:creator>Fernández Temprano, Miguel Alejandro</dc:creator>
<dc:creator>Peddada, Shyamal</dc:creator>
<dc:date>2016</dc:date>
<dc:description>The determination of rhythmic signals in oscillatory systems, such as cell cycle or circadian clock, is essential for biologists to know which genes&#xd;
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&#xd;
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&#xd;
and taking into account the needs of the biologists, and an algorithm based on order restricted inference and conditional tests to detect and classify&#xd;
the signals in different groups. We test the algorithm in simulations and with real databases from circadian clock, and compare it with the most&#xd;
usual methods available showing its good performance.</dc:description>
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<dc:title>Detection of rhythmic signals in Oscillatory Systems using order Restricted Inference</dc:title>
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