Deep Learning Approaches for Genomic Prediction and Quantifying Computational Carbon Footprints
| العنوان: | Deep Learning Approaches for Genomic Prediction and Quantifying Computational Carbon Footprints |
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| المؤلفون: | Grealey, Jason Gavin |
| بيانات النشر: | La Trobe, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | FOS: Computer and information sciences, FOS: Media and communications, FOS: Biological sciences, FOS: Mathematics, 50199 Ecological Applications not elsewhere classified, FOS: Earth and related environmental sciences, 80705 Informetrics, 10299 Applied Mathematics not elsewhere classified, 60408 Genomics, 80301 Bioinformatics Software |
| الوصف: | This thesis is submitted for the total fulfilment of the requirements for a PhD to the Department of Mathematics and Statistics, College of Science, Health and Engineering, La Trobe University, Victoria, Australia. |
| DOI: | 10.26181/19953803.v1 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c4cb0d8b567b8cb6d86fef36caf53be |
| رقم الأكسشن: | edsair.doi.dedup.....0c4cb0d8b567b8cb6d86fef36caf53be |
| قاعدة البيانات: | OpenAIRE |
| DOI: | 10.26181/19953803.v1 |
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