| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Keine Angabe |
| Titel: | Robust hit identification by quality assurance and multivariate data analysis of a high-content, cell-based assay |
| Autor/-in: | Dürr, Oliver Duval, François Nichols, Anthony Lang, Paul Brodte, Annette Heyse, Stephan Besson, Dominique |
| DOI: | 10.1177/1087057107309036 |
| Erschienen in: | Journal of Biomolecular Screening |
| Band(Heft): | 12 |
| Heft: | 8 |
| Seite(n): | 1042 |
| Seiten bis: | 1049 |
| Erscheinungsdatum: | 2007 |
| Verlag / Hrsg. Institution: | Sage |
| ISSN: | 1087-0571 1552-454X |
| Sprache: | Englisch |
| Schlagwörter: | Cluster analysis; Multivariate analysis; Neurites; Quality control; Reproducibility of results; Tissue array analysis |
| Fachgebiet (DDC): | 572: Biochemie |
| Zusammenfassung: | 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 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Datenanalyse und Prozessdesign (IDP) |
| Enthalten in den Sammlungen: | 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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