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

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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Bibliographic Details
Main Authors: Maria Nikoghosyan, Maria Schmidt, Kristina Margaryan, Henry Loeffler-Wirth, Arsen Arakelyan, Hans Binder
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Genes
Subjects:
grapevine genomes
genetic diversity
dissemination of vine
genome passporting
self-organizing maps
genome portrayal
Online Access:https://www.mdpi.com/2073-4425/11/7/817

Internet

https://www.mdpi.com/2073-4425/11/7/817

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