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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/55525
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dc.contributor.authorLoh, Zhi Kangen
dc.contributor.authorVan Der Werf, Juliusen
dc.contributor.authorClark, Samuelen
dc.date.accessioned2023-08-02T06:06:14Z-
dc.date.available2023-08-02T06:06:14Z-
dc.date.issued2022-10-25-
dc.identifier.urihttps://hdl.handle.net/1959.11/55525-
dc.description.abstractThis dataset consists of scripts developed for the research project A Framework for Optimizing Breeding Pairs Using Artificial Intelligence. The scripts are for simulations (in .py format) for each of the chapters, along with results (in .py or .xlsx format). These data and results were generated through simulations, and all results and metadata can be obtained by running the simulation scripts. The scripts have been organized based on chapters, and are simulation scripts that become the basis of this research. Raw metadata from which the results reported in the thesis were based upon can be requested on demand.en
dc.format.extent.py, .xlsx, .npy, .npz, .txten
dc.languageenen
dc.publisherUniversity of New Englanden
dc.relation.urihttps://hdl.handle.net/1959.11/55524en
dc.titleA Framework for Optimizing Breeding Pairs Using Artificial Intelligence - Dataseten
dc.typeDataseten
dc.identifier.doi10.25952/579f-5197en
dcterms.accessRightsMediateden
dcterms.rightsHolderZhi Kang Lohen
dc.subject.keywordsBreeding Pair Optimizationen
dc.subject.keywordsGenome-Wide Association Studyen
dc.subject.keywordsFalse Positive Rateen
dc.subject.keywordsPoweren
dc.subject.keywordsNon-Additive Geneticsen
local.contributor.firstnameZhien
local.contributor.firstnameJuliusen
local.contributor.firstnameSamuelen
local.subject.for2008060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)en
local.subject.for2008010402 Biostatisticsen
local.subject.seo2008830399 Livestock Raising not elsewhere classifieden
local.subject.seo2008970107 Expanding Knowledge in the Agricultural and Veterinary Sciencesen
local.subject.seo2008970101 Expanding Knowledge in the Mathematical Sciencesen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emaillzk995m@gmail.comen
local.profile.emailjvanderw@une.edu.auen
local.profile.emailsclark37@une.edu.auen
local.output.categoryXen
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeArmidale, Australiaen
local.contributor.lastnameKang Lohen
local.contributor.lastnameVan Der Werfen
local.contributor.lastnameClarken
dc.identifier.staffune-id:zloh2en
dc.identifier.staffune-id:jvanderwen
dc.identifier.staffune-id:sclark37en
local.profile.orcid0000-0003-2512-1696en
local.profile.orcid0000-0001-8605-1738en
local.profile.rolecreatoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:1959.11/55525en
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleA Framework for Optimizing Breeding Pairs Using Artificial Intelligence - Dataseten
local.relation.fundingsourcenoteAustralian Government Research Training Program Scholarshipen
local.output.categorydescriptionX Dataseten
local.search.authorKang Loh, Zhien
local.search.supervisorVan Der Werf, Juliusen
local.search.supervisorClark, Samuelen
dcterms.rightsHolder.managedbyZhi Kang Lohen
local.datasetcontact.nameZhi Kang Lohen
local.datasetcontact.emaillzk995m@gmail.comen
local.datasetcustodian.nameZhi Kang Lohen
local.datasetcustodian.emaillzk995m@gmail.comen
local.datasetcontact.detailsZhi Kang Loh - lzk995m@gmail.comen
local.datasetcustodian.detailsZhi Kang Loh - lzk995m@gmail.comen
dcterms.ispartof.projectA Framework for Optimizing Breeding Pairs Using Artificial Intelligenceen
dcterms.source.datasetlocationUniversity of New Englanden
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2022-
local.subject.for2020310207 Statistical and quantitative geneticsen
local.subject.seo2020100499 Livestock raising not elsewhere classifieden
local.subject.seo2020280101 Expanding knowledge in the agricultural, food and veterinary sciencesen
local.subject.seo2020280118 Expanding knowledge in the mathematical sciencesen
dc.coverage.placeArmidale, New South Wales, Australiaen
local.profile.affiliationtypeUnknownen
local.profile.affiliationtypeUnknownen
local.profile.affiliationtypeUnknownen
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School of Environmental and Rural Science
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