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dc.contributor.authorHoward, Brian-
dc.contributor.authorSick, Beate-
dc.contributor.authorHeber, Steffen-
dc.date.accessioned2018-12-20T09:17:14Z-
dc.date.available2018-12-20T09:17:14Z-
dc.date.issued2009-
dc.identifier.isbn978-3-642-01550-2de_CH
dc.identifier.isbn978-3-642-01551-9de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/14043-
dc.description.abstractThere are many methods for assessing the quality of microarray data, but little guidance regarding what to do when defective data is identified. Depending on the scientific question asked, discarding flawed data from a small experiment may be detrimental. Here we describe a novel quality assessment method that is designed to identify chips that should be discarded from an experiment. This technique simulates a set of differentially expressed genes and then assesses whether discarding each chip enhances or obscures the recovery of this known set. We compare our method to expert annotations derived using popular quality diagnostics and show, with examples, that the decision to discard a chip depends on the details of the particular experiment.de_CH
dc.language.isoende_CH
dc.publisherSpringerde_CH
dc.relation.ispartofseriesLecture Notes in Computer Sciencede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc572: Biochemiede_CH
dc.titlePractical quality assessment of microarray data by simulation of differential gene expressionde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
dc.identifier.doi10.1007/978-3-642-01551-9_3de_CH
zhaw.conference.details5th International Symposium on Bioinformatics Research and Applications (ISBRA), Fort Lauderdale, USA, 13-16 May 2009de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end27de_CH
zhaw.pages.start18de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.series.number5542de_CH
zhaw.publication.reviewNot specifiedde_CH
zhaw.title.proceedingsBioinformatics Research and Applicationsde_CH
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Howard, B., Sick, B., & Heber, S. (2009). Practical quality assessment of microarray data by simulation of differential gene expression [Conference paper]. Bioinformatics Research and Applications, 18–27. https://doi.org/10.1007/978-3-642-01551-9_3
Howard, B., Sick, B. and Heber, S. (2009) ‘Practical quality assessment of microarray data by simulation of differential gene expression’, in Bioinformatics Research and Applications. Springer, pp. 18–27. Available at: https://doi.org/10.1007/978-3-642-01551-9_3.
B. Howard, B. Sick, and S. Heber, “Practical quality assessment of microarray data by simulation of differential gene expression,” in Bioinformatics Research and Applications, 2009, pp. 18–27. doi: 10.1007/978-3-642-01551-9_3.
HOWARD, Brian, Beate SICK und Steffen HEBER, 2009. Practical quality assessment of microarray data by simulation of differential gene expression. In: Bioinformatics Research and Applications. Conference paper. Springer. 2009. S. 18–27. ISBN 978-3-642-01550-2
Howard, Brian, Beate Sick, and Steffen Heber. 2009. “Practical Quality Assessment of Microarray Data by Simulation of Differential Gene Expression.” Conference paper. In Bioinformatics Research and Applications, 18–27. Springer. https://doi.org/10.1007/978-3-642-01551-9_3.
Howard, Brian, et al. “Practical Quality Assessment of Microarray Data by Simulation of Differential Gene Expression.” Bioinformatics Research and Applications, Springer, 2009, pp. 18–27, https://doi.org/10.1007/978-3-642-01551-9_3.


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