Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Howard, Brian | - |
dc.contributor.author | Sick, Beate | - |
dc.contributor.author | Heber, Steffen | - |
dc.date.accessioned | 2018-12-20T09:17:14Z | - |
dc.date.available | 2018-12-20T09:17:14Z | - |
dc.date.issued | 2009 | - |
dc.identifier.isbn | 978-3-642-01550-2 | de_CH |
dc.identifier.isbn | 978-3-642-01551-9 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/14043 | - |
dc.description.abstract | There 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.iso | en | de_CH |
dc.publisher | Springer | de_CH |
dc.relation.ispartofseries | Lecture Notes in Computer Science | de_CH |
dc.rights | Licence according to publishing contract | de_CH |
dc.subject.ddc | 572: Biochemie | de_CH |
dc.title | Practical quality assessment of microarray data by simulation of differential gene expression | de_CH |
dc.type | Konferenz: Paper | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Engineering | de_CH |
zhaw.organisationalunit | Institut für Datenanalyse und Prozessdesign (IDP) | de_CH |
dc.identifier.doi | 10.1007/978-3-642-01551-9_3 | de_CH |
zhaw.conference.details | 5th International Symposium on Bioinformatics Research and Applications (ISBRA), Fort Lauderdale, USA, 13-16 May 2009 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 27 | de_CH |
zhaw.pages.start | 18 | de_CH |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.series.number | 5542 | de_CH |
zhaw.publication.review | Not specified | de_CH |
zhaw.title.proceedings | Bioinformatics Research and Applications | de_CH |
Appears in collections: | Publikationen School of Engineering |
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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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