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SOMmelier—Intuitive Visualization of the Topology of Grapevine Genome Landscapes Using Artificial Neural Networks

Background: Whole-genome studies of vine cultivars have brought novel knowledge about the diversity, geographical relatedness, historical origin and dissemination, phenotype associations and genetic markers. Method: We applied SOM (self-organizing maps) portrayal, a neural network-based machine lear...

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Bibliografski detalji
Izdano u:Genes (Basel)
Glavni autori: Nikoghosyan, Maria, Schmidt, Maria, Margaryan, Kristina, Loeffler-Wirth, Henry, Arakelyan, Arsen, Binder, Hans
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2020
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7397337/
https://ncbi.nlm.nih.gov/pubmed/32709105
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/genes11070817
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