Publication type: Article in scientific journal
Type of review: Not specified
Title: Robust hit identification by quality assurance and multivariate data analysis of a high-content, cell-based assay
Authors: Dürr, Oliver
Duval, François
Nichols, Anthony
Lang, Paul
Brodte, Annette
Heyse, Stephan
Besson, Dominique
DOI: 10.1177/1087057107309036
Published in: Journal of Biomolecular Screening
Volume(Issue): 12
Issue: 8
Page(s): 1042
Pages to: 1049
Issue Date: 2007
Publisher / Ed. Institution: Sage
ISSN: 1087-0571
1552-454X
Language: English
Subjects: Cluster analysis; Multivariate analysis; Neurites; Quality control; Reproducibility of results; Tissue array analysis
Subject (DDC): 572: Biochemistry
Abstract: Recent technological advances in high-content screening instrumentation have increased its ease of use and throughput, expanding the application of high-content screening to the early stages of drug discovery. However, high-content screens produce complex data sets, presenting a challenge for both extraction and interpretation of meaningful information. This shifts the high-content screening process bottleneck from the experimental to the analytical stage. In this article, the authors discuss different approaches of data analysis, using a phenotypic neurite outgrowth screen as an example. Distance measurements and hierarchical clustering methods lead to a profound understanding of different high-content screening readouts. In addition, the authors introduce a hit selection procedure based on machine learning methods and demonstrate that this method increases the hit verification rate significantly (up to a factor of 5), compared to conventional hit selection based on single readouts only.
URI: https://digitalcollection.zhaw.ch/handle/11475/13890
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Appears in collections:Publikationen School of Engineering

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Dürr, O., Duval, F., Nichols, A., Lang, P., Brodte, A., Heyse, S., & Besson, D. (2007). Robust hit identification by quality assurance and multivariate data analysis of a high-content, cell-based assay. Journal of Biomolecular Screening, 12(8), 1042–1049. https://doi.org/10.1177/1087057107309036
Dürr, O. et al. (2007) ‘Robust hit identification by quality assurance and multivariate data analysis of a high-content, cell-based assay’, Journal of Biomolecular Screening, 12(8), pp. 1042–1049. Available at: https://doi.org/10.1177/1087057107309036.
O. Dürr et al., “Robust hit identification by quality assurance and multivariate data analysis of a high-content, cell-based assay,” Journal of Biomolecular Screening, vol. 12, no. 8, pp. 1042–1049, 2007, doi: 10.1177/1087057107309036.
DÜRR, Oliver, François DUVAL, Anthony NICHOLS, Paul LANG, Annette BRODTE, Stephan HEYSE und Dominique BESSON, 2007. Robust hit identification by quality assurance and multivariate data analysis of a high-content, cell-based assay. Journal of Biomolecular Screening. 2007. Bd. 12, Nr. 8, S. 1042–1049. DOI 10.1177/1087057107309036
Dürr, Oliver, François Duval, Anthony Nichols, Paul Lang, Annette Brodte, Stephan Heyse, and Dominique Besson. 2007. “Robust Hit Identification by Quality Assurance and Multivariate Data Analysis of a High-Content, Cell-Based Assay.” Journal of Biomolecular Screening 12 (8): 1042–49. https://doi.org/10.1177/1087057107309036.
Dürr, Oliver, et al. “Robust Hit Identification by Quality Assurance and Multivariate Data Analysis of a High-Content, Cell-Based Assay.” Journal of Biomolecular Screening, vol. 12, no. 8, 2007, pp. 1042–49, https://doi.org/10.1177/1087057107309036.


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