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dc.contributor.authorHeyse, Stephan-
dc.contributor.authorBrodte, Annette-
dc.contributor.authorBruttger, Oliver-
dc.contributor.authorDürr, Oliver-
dc.contributor.authorFreeman, Tobe-
dc.contributor.authorJung, Tom-
dc.contributor.authorLindemann, Michael-
dc.contributor.authorOttl, Johannes-
dc.contributor.authorRinn, Bernd-
dc.date.accessioned2018-12-17T08:58:46Z-
dc.date.available2018-12-17T08:58:46Z-
dc.date.issued2005-
dc.identifier.issn2472-6303de_CH
dc.identifier.issn2472-6311de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/13897-
dc.description.abstractThere is a growing need to precisely quantify the selectivity of large compound sets in high throughput screening, directing investment in lead optimization towards compounds with a high chance of success. High-content, high-density screening technologies such as multiparametric ultra-HTS provide a basis for highly precise screening with unprecedented scope for delineating process artifacts from reliable signals. However, the full potential of these technologies can only be realized with suitable experimental design and sophisticated data analysis tools. We present two advanced analysis workflows demonstrating how multiparametric readouts from a high throughput primary screen can improve decision quality in the hit identification process. The first involves discrete thresholding and the application of multiple selection criteria. The second uses machine learning algorithms and allows an unbiased consideration of all measured parameters.de_CH
dc.language.isoende_CH
dc.publisherSagede_CH
dc.relation.ispartofSLAS Technology: Translating Life Sciences Innovationde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc572: Biochemiede_CH
dc.subject.ddc615: Pharmakologie und Therapeutikde_CH
dc.titleQuantifying bioactivity on a large scale : quality assurance and analysis of multiparametric ultra-HTS datade_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
dc.identifier.doi10.1016/j.jala.2005.05.003de_CH
zhaw.funding.euNode_CH
zhaw.issue4de_CH
zhaw.originated.zhawNode_CH
zhaw.pages.end212de_CH
zhaw.pages.start207de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume10de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
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Heyse, S., Brodte, A., Bruttger, O., Dürr, O., Freeman, T., Jung, T., Lindemann, M., Ottl, J., & Rinn, B. (2005). Quantifying bioactivity on a large scale : quality assurance and analysis of multiparametric ultra-HTS data. SLAS Technology: Translating Life Sciences Innovation, 10(4), 207–212. https://doi.org/10.1016/j.jala.2005.05.003
Heyse, S. et al. (2005) ‘Quantifying bioactivity on a large scale : quality assurance and analysis of multiparametric ultra-HTS data’, SLAS Technology: Translating Life Sciences Innovation, 10(4), pp. 207–212. Available at: https://doi.org/10.1016/j.jala.2005.05.003.
S. Heyse et al., “Quantifying bioactivity on a large scale : quality assurance and analysis of multiparametric ultra-HTS data,” SLAS Technology: Translating Life Sciences Innovation, vol. 10, no. 4, pp. 207–212, 2005, doi: 10.1016/j.jala.2005.05.003.
HEYSE, Stephan, Annette BRODTE, Oliver BRUTTGER, Oliver DÜRR, Tobe FREEMAN, Tom JUNG, Michael LINDEMANN, Johannes OTTL und Bernd RINN, 2005. Quantifying bioactivity on a large scale : quality assurance and analysis of multiparametric ultra-HTS data. SLAS Technology: Translating Life Sciences Innovation. 2005. Bd. 10, Nr. 4, S. 207–212. DOI 10.1016/j.jala.2005.05.003
Heyse, Stephan, Annette Brodte, Oliver Bruttger, Oliver Dürr, Tobe Freeman, Tom Jung, Michael Lindemann, Johannes Ottl, and Bernd Rinn. 2005. “Quantifying Bioactivity on a Large Scale : Quality Assurance and Analysis of Multiparametric Ultra-HTS Data.” SLAS Technology: Translating Life Sciences Innovation 10 (4): 207–12. https://doi.org/10.1016/j.jala.2005.05.003.
Heyse, Stephan, et al. “Quantifying Bioactivity on a Large Scale : Quality Assurance and Analysis of Multiparametric Ultra-HTS Data.” SLAS Technology: Translating Life Sciences Innovation, vol. 10, no. 4, 2005, pp. 207–12, https://doi.org/10.1016/j.jala.2005.05.003.


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