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  2. School of Engineering
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  4. Publikationen School of Engineering
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dc.contributor.authorHoward, Brian E.-
dc.contributor.authorSick, Beate-
dc.contributor.authorPerera, Imara-
dc.contributor.authorIm, Yang Ju-
dc.contributor.authorWinter-Sederoff, Heike-
dc.contributor.authorHeber, Steffen-
dc.date.accessioned2018-12-19T13:46:40Z-
dc.date.available2018-12-19T13:46:40Z-
dc.date.issued2007-
dc.identifier.isbn1-4244-1509-8de_CH
dc.identifier.isbn978-1-4244-1509-0de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/14001-
dc.description.abstractRecent research has demonstrated the utility of using supervised classification systems for automatic identification of low quality microarray data. However, this approach requires annotation of a large training set by a qualified expert. In this paper we demonstrate the utility of an unsupervised classification technique based on the Expectation-Maximization (EM) algorithm and naive Bayes classification. On our test set, this system exhibits performance comparable to that of an analogous supervised learner constructed from the same training data.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectQuality assessmentde_CH
dc.subjectClassificationde_CH
dc.subjectMicroarrayde_CH
dc.subject.ddc570: Biologiede_CH
dc.titleQuality assessment of Affymetrix GeneChip data using the EM algorithm and a naïve Bayes classifierde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
dc.identifier.doi10.1109/BIBE.2007.4375557de_CH
zhaw.conference.details7th International Conference on BioInformatics and BioEngineering, Boston, USA, 14-17 October 2007de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewNot specifiedde_CH
zhaw.title.proceedings2007 IEEE 7th International Symposium on BioInformatics and BioEngineeringde_CH
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Howard, B. E., Sick, B., Perera, I., Im, Y. J., Winter-Sederoff, H., & Heber, S. (2007). Quality assessment of Affymetrix GeneChip data using the EM algorithm and a naïve Bayes classifier. 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering. https://doi.org/10.1109/BIBE.2007.4375557
Howard, B.E. et al. (2007) ‘Quality assessment of Affymetrix GeneChip data using the EM algorithm and a naïve Bayes classifier’, in 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering. IEEE. Available at: https://doi.org/10.1109/BIBE.2007.4375557.
B. E. Howard, B. Sick, I. Perera, Y. J. Im, H. Winter-Sederoff, and S. Heber, “Quality assessment of Affymetrix GeneChip data using the EM algorithm and a naïve Bayes classifier,” in 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering, 2007. doi: 10.1109/BIBE.2007.4375557.
HOWARD, Brian E., Beate SICK, Imara PERERA, Yang Ju IM, Heike WINTER-SEDEROFF und Steffen HEBER, 2007. Quality assessment of Affymetrix GeneChip data using the EM algorithm and a naïve Bayes classifier. In: 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering. Conference paper. IEEE. 2007. ISBN 1-4244-1509-8
Howard, Brian E., Beate Sick, Imara Perera, Yang Ju Im, Heike Winter-Sederoff, and Steffen Heber. 2007. “Quality Assessment of Affymetrix GeneChip Data Using the EM Algorithm and a Naïve Bayes Classifier.” Conference paper. In 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering. IEEE. https://doi.org/10.1109/BIBE.2007.4375557.
Howard, Brian E., et al. “Quality Assessment of Affymetrix GeneChip Data Using the EM Algorithm and a Naïve Bayes Classifier.” 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering, IEEE, 2007, https://doi.org/10.1109/BIBE.2007.4375557.


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