| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Quantifying bioactivity on a large scale : quality assurance and analysis of multiparametric ultra-HTS data |
| Autor/-in: | Heyse, Stephan Brodte, Annette Bruttger, Oliver Dürr, Oliver Freeman, Tobe Jung, Tom Lindemann, Michael Ottl, Johannes Rinn, Bernd |
| DOI: | 10.1016/j.jala.2005.05.003 |
| Erschienen in: | SLAS Technology: Translating Life Sciences Innovation |
| Band(Heft): | 10 |
| Heft: | 4 |
| Seite(n): | 207 |
| Seiten bis: | 212 |
| Erscheinungsdatum: | 2005 |
| Verlag / Hrsg. Institution: | Sage |
| ISSN: | 2472-6303 2472-6311 |
| Sprache: | Englisch |
| Fachgebiet (DDC): | 572: Biochemie 615: Pharmakologie und Therapeutik |
| Zusammenfassung: | There 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/13897 |
| 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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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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