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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...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:Front Genet
Päätekijät: Waldmann, Patrik, Pfeiffer, Christina, Mészáros, Gábor
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Frontiers Media S.A. 2020
Aiheet:
Linkit: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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