Short time series microarray data analysis and biological annotation

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dc.contributor.authorSökmen, Z.en_US
dc.contributor.authorAtalay, V.en_US
dc.contributor.authorÇetin-Atalay, Rengülen_US
dc.coverage.spatialAydın, Turkeyen_US
dc.date.accessioned2016-02-08T11:37:12Zen_US
dc.date.available2016-02-08T11:37:12Zen_US
dc.date.issued2008en_US
dc.departmentDepartment of Molecular Biology and Geneticsen_US
dc.descriptionDate of Conference: 20-22 April 2008en_US
dc.descriptionConference Name: IEEE 16th Signal Processing and Communications Applications Conference, SIU 2008en_US
dc.description.abstractSignificant gene list is the result of microarray data analysis should be explained for the purpose of biological functions. The aim of this study is to extract the biologically related gene clusters over the short time series microarray gene data by applying unsupervised methods and automatically perform biological annotation of those clusters. In the first step of the study, short time series microarray expression data is clustered according to similar expression profiles. After that, several biological data sources are integrated to get information related with the genes in one of those clusters and new sub-clusters are created by using this unified information. As a last step, biological annotation of gene sub-clusters is performed by using information related with those sub-clusters.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:37:12Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2008en
dc.identifier.doi10.1109/SIU.2008.4632669en_US
dc.identifier.urihttp://hdl.handle.net/11693/26834en_US
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2008.4632669en_US
dc.source.titleProceedings of the IEEE 16th Signal Processing and Communications Applications Conference, SIU 2008en_US
dc.subjectBiological datumsen_US
dc.subjectBiological functionsen_US
dc.subjectExpression datumsen_US
dc.subjectExpression profilesen_US
dc.subjectGene clustersen_US
dc.subjectGene listsen_US
dc.subjectMicroarray data analysesen_US
dc.subjectMicroarray genesen_US
dc.subjectShort time seriesen_US
dc.subjectUnsupervised methodsen_US
dc.subjectOptimal control systemsen_US
dc.subjectSignal processingen_US
dc.subjectTime series analysisen_US
dc.titleShort time series microarray data analysis and biological annotationen_US
dc.title.alternativeKısa süreli mikrodizi serilerinin analizi ve biyolojik anlamlandırmasıen_US
dc.typeConference Paperen_US

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