Reliable genomic strategies for species classification of plant genetic resources

Reliable genomic strategies for species classification of plant genetic resources

Background: To address the need for easy and reliable species classification in plant genetic resources collections, we assessed the potential of five classifiers (Random Forest, Neighbour-Joining, 1-Nearest Neighbour, a conservative variety of 3-Nearest Neighbours and Naive Bayes) We investigated t...

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Bibliographic Details
Main Authors: van Bemmelen van der Plaat, A. (Author), van Hintum, T.J.L (Author), van Treuren, R. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
article
Bayes theorem
Bayes Theorem
Bayesian learning
Classification (of information)
Classification methods
classifier
cluster analysis
Cluster Analysis
crop
Crop wild relatives
Decision trees
documentation
Gene bank documentation
Genes
genetic resource
Genetic resources
genetics
Genomic data
genomics
Genomics
gold standard
Gold standards
Machine learning
Misclassification rates
Naive bayes
nonhuman
plant
Plant genetic resources
Plants
random forest
Species classification
Training data
wild type
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