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Sparse Convolutional Neural Networks for Genome-Wide Prediction
Genome-wide prediction (GWP) has become the state-of-the art method in artificial selection. Data sets often comprise number of genomic markers and individuals in ranges from a few thousands to millions. Hence, computational efficiency is important and various machine learning methods have successfu...
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| Wydane w: | Front Genet |
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| Główni autorzy: | , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Frontiers Media S.A.
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7029737/ https://ncbi.nlm.nih.gov/pubmed/32117441 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2020.00025 |
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