Evolving Improved Sampling Protocols for Dose-Response Modelling Using Genetic Algorithms with a Profile-Likelihood Metric.
Saved in:
| Title: | Evolving Improved Sampling Protocols for Dose-Response Modelling Using Genetic Algorithms with a Profile-Likelihood Metric. |
|---|---|
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38717656 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Evolving Improved Sampling Protocols for Dose-Response Modelling Using Genetic Algorithms with a Profile-Likelihood Metric. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Lam+NN%22">Lam NN</searchLink>; Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand. nicholas.lam@pg.canterbury.ac.nz.<br /><searchLink fieldCode="AU" term="%22Murray+R%22">Murray R</searchLink>; School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.<br /><searchLink fieldCode="AU" term="%22Docherty+PD%22">Docherty PD</searchLink>; Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.; Institute of Technical Medicine, Furtwangen University, Villingen-Schwenningen, Baden-Württemberg, Germany. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220401404%22">Bulletin of mathematical biology</searchLink> [Bull Math Biol] 2024 May 08; Vol. 86 (6), pp. 70. <i>Date of Electronic Publication: </i>2024 May 08. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0401404 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1522-9602 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200928240%22">00928240 </searchLink><i>NLM ISO Abbreviation: </i>Bull Math Biol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38717656 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11538-024-01304-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 70 Titles: – TitleFull: Evolving Improved Sampling Protocols for Dose-Response Modelling Using Genetic Algorithms with a Profile-Likelihood Metric. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lam NN – PersonEntity: Name: NameFull: Murray R – PersonEntity: Name: NameFull: Docherty PD IsPartOfRelationships: – BibEntity: Dates: – D: 08 M: 05 Text: 2024 May 08 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1522-9602 Numbering: – Type: volume Value: 86 – Type: issue Value: 6 Titles: – TitleFull: Bulletin of mathematical biology Type: main |
| ResultId | 1 |