Grouping concentration response curves by features of their shape to aid rapid and consistent analysis of large data sets in high throughput screens.
Saved in:
| Title: | Grouping concentration response curves by features of their shape to aid rapid and consistent analysis of large data sets in high throughput screens. |
|---|---|
| Authors: | Davies G; Hit Discovery, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Alderley Park, UK. Electronic address: gareth.davies@astrazeneca.com., Vincent J; Hit Discovery, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Alderley Park, UK; Discovery Science & Technology, Medicines Discovery Catapult, Alderley Park, UK., Packer MJ; TDE, Oncology R&D, AstraZeneca, Alderley Park, UK., Murray D; Hit Discovery, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Alderley Park, UK; Lighthouse Laboratory, Medicines Discovery Catapult, Alderley Park, UK. |
| Source: | SLAS discovery : advancing life sciences R & D [SLAS Discov] 2022 Jun; Vol. 27 (4), pp. 272-277. Date of Electronic Publication: 2021 Dec 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: SAGE Publications Country of Publication: United States NLM ID: 101697563 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2472-5560 (Electronic) Linking ISSN: 24725552 NLM ISO Abbreviation: SLAS Discov Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2472-5560 |
|---|---|
| DOI: | 10.1016/j.slasd.2021.11.004 |
