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dc.contributor.authorİlk, H. G.en_US
dc.contributor.authorİlk, Ö.en_US
dc.contributor.authorKonu, Özlenen_US
dc.contributor.authorÖzdağ, H.en_US
dc.coverage.spatialAntalya, Turkeyen_US
dc.date.accessioned2016-02-08T11:46:56Zen_US
dc.date.available2016-02-08T11:46:56Zen_US
dc.date.issued2006en_US
dc.identifier.issn2165-0608en_US
dc.identifier.urihttp://hdl.handle.net/11693/27183
dc.descriptionDate of Conference: 17-19 April 2006en_US
dc.descriptionConference Name: IEEE 14th Signal Processing and Communications Applications Conference, SIU 2006en_US
dc.description.abstractPreprocessing of microarray data involves the necessary steps of background correction, normalization and summarization of the raw intensity data obtained from cDNA or oligo-arrays before statistical analysis. Several algorithms, namely RMA, dChip, and MAS5 exist for the preprocessing of Affymetrix microarray data. Previous studies have identified RMA as one of most accurate algorithms while MAS5 was characterized with lower accuracy and sensitivity levels. In this study, performance of different preprocessing algorithms have been compared in terms of ROC characteristics of pairwise intensity differences of microarray replicates. Our findings indicated that all three algorithms predicted in similar order the quality of the technical replicates obtained from a selected set of latin square experiments [1]. On the other hand, RMA exhibited higher performance in terms of accuracy by maximizing the area under the receiver operating curve. The proposed method also is useful for detection of global and/or local artifacts associated within the technical replicas of a microarray experiment. Therefore this study is unique in the sense that it provides an extensive investigation and comparison of preprocessing algorithms and proposes a novel method for the detection and identification of fine technical replicate pair.en_US
dc.language.isoTurkishen_US
dc.source.titleProceedings of the IEEE 14th Signal Processing and Communications Applications Conference, SIU 2006en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2006.1659873en_US
dc.subjectPerformance analysisen_US
dc.subjectPreprocessing algorithmsen_US
dc.subjectReceiver operating curvesen_US
dc.subjectAlgorithmsen_US
dc.subjectDNAen_US
dc.subjectGene expressionen_US
dc.subjectOptimizationen_US
dc.subjectSensitivity analysisen_US
dc.subjectSignal receiversen_US
dc.subjectMicroarraysen_US
dc.titleInvestigation and comparison of the preprocessing algorithms for microarray analysis for robust gene expression calculation and performance analysis of technical replicatesen_US
dc.title.alternativeMikrodizin analizinde gürbüz gen ifadesi elde edebilmek maksadıyla kullanılan ön işleme algoritmalarının karşılaştırılması ve teknik tekrarların başarımlarının analizien_US
dc.typeConference Paperen_US
dc.departmentDepartment of Molecular Biology and Geneticsen_US
dc.citation.volumeNumber2006en_US
dc.identifier.doi10.1109/SIU.2006.1659873en_US
dc.publisherIEEEen_US


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