<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T16:02:25Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/22935" metadataPrefix="mods">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/22935</identifier><datestamp>2021-06-23T10:10:51Z</datestamp><setSpec>com_10324_1151</setSpec><setSpec>com_10324_931</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_1280</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Larriba González, Yolanda</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Rueda Sabater, María Cristina</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Fernández Temprano, Miguel Alejandro</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Peddada, Shyamal</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2017-03-31T11:13:21Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2017-03-31T11:13:21Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2016</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="uri">http://uvadoc.uva.es/handle/10324/22935</mods:identifier>
<mods:abstract>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.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/restrictedAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by-nc-nd/4.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Attribution-NonCommercial-NoDerivatives 4.0 International</mods:accessCondition>
<mods:titleInfo>
<mods:title>Detection of rhythmic signals in Oscillatory Systems using order Restricted Inference</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/conferenceObject</mods:genre>
</mods:mods></metadata></record></GetRecord></OAI-PMH>