Evolving Improved Sampling Protocols for Dose-Response Modelling Using Genetic Algorithms with a Profile-Likelihood Metric.
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| Title: | Evolving Improved Sampling Protocols for Dose-Response Modelling Using Genetic Algorithms with a Profile-Likelihood Metric. |
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| Authors: | Lam NN; Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand. nicholas.lam@pg.canterbury.ac.nz., Murray R; School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand., Docherty PD; Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.; Institute of Technical Medicine, Furtwangen University, Villingen-Schwenningen, Baden-Württemberg, Germany. |
| Source: | Bulletin of mathematical biology [Bull Math Biol] 2024 May 08; Vol. 86 (6), pp. 70. Date of Electronic Publication: 2024 May 08. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 0401404 Publication Model: Electronic Cited Medium: Internet ISSN: 1522-9602 (Electronic) Linking ISSN: 00928240 NLM ISO Abbreviation: Bull Math Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1522-9602 |
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| DOI: | 10.1007/s11538-024-01304-1 |
