Data

A Framework for Optimizing Breeding Pairs Using Artificial Intelligence - Dataset

University of New England, Australia
Loh, Zhi ; Van, Der ; Clark, Samuel
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25952/579f-5197&rft.title=A Framework for Optimizing Breeding Pairs Using Artificial Intelligence - Dataset&rft.identifier=10.25952/579f-5197&rft.publisher=University of New England&rft.description=This 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.&rft.creator=Loh, Zhi &rft.creator=Van, Der &rft.creator=Clark, Samuel &rft.date=2022&rft_rights=Rights holder: Zhi Kang Loh&rft_subject=Quantitative Genetics (incl. Disease and Trait Mapping Genetics)&rft_subject=BIOLOGICAL SCIENCES&rft_subject=GENETICS&rft_subject=Biostatistics&rft_subject=MATHEMATICAL SCIENCES&rft_subject=STATISTICS&rft_subject=Livestock Raising not elsewhere classified&rft_subject=ANIMAL PRODUCTION AND ANIMAL PRIMARY PRODUCTS&rft_subject=LIVESTOCK RAISING&rft_subject=Expanding Knowledge in the Agricultural and Veterinary Sciences&rft_subject=EXPANDING KNOWLEDGE&rft_subject=EXPANDING KNOWLEDGE&rft_subject=Expanding Knowledge in the Mathematical Sciences&rft_subject=Statistical and quantitative genetics&rft_subject=Bioinformatics and computational biology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=100499 Livestock raising not elsewhere classified&rft_subject=Expanding knowledge in the agricultural, food and veterinary sciences&rft_subject=Expanding knowledge&rft_subject=EXPANDING KNOWLEDGE&rft_subject=Expanding knowledge in the mathematical sciences&rft.type=dataset&rft.language=English Access the data
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Rights holder: Zhi Kang Loh

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lzk995m@gmail.com

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This 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.

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Funding Source
Australian Government Research Training Program Scholarship

Issued: 2022-10-25

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Subjects
100499 Livestock raising not elsewhere classified | Animal Production and Animal Primary Products | Biological Sciences | Biological Sciences | Bioinformatics and Computational Biology | Biostatistics | Expanding Knowledge | Expanding Knowledge | Expanding Knowledge | Expanding Knowledge in the Agricultural and Veterinary Sciences | Expanding Knowledge in the Mathematical Sciences | Expanding Knowledge | Expanding Knowledge in the Agricultural, Food and Veterinary Sciences | Expanding Knowledge in the Mathematical Sciences | Genetics | Livestock Raising | Livestock Raising Not Elsewhere Classified | Mathematical Sciences | Quantitative Genetics (Incl. Disease and Trait Mapping Genetics) | Statistics | Statistical and Quantitative Genetics |

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handle : https://hdl.handle.net/1959.11/55524

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