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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Detalles Bibliográficos
Autores principales: Nikoghosyan, Maria, Schmidt, Maria, Margaryan, Kristina, Loeffler-Wirth, Henry, Arakelyan, Arsen, Binder, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397337/
https://www.ncbi.nlm.nih.gov/pubmed/32709105
http://dx.doi.org/10.3390/genes11070817

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397337/
https://www.ncbi.nlm.nih.gov/pubmed/32709105
http://dx.doi.org/10.3390/genes11070817

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