A cautionary note on the use of unsupervised machine learning algorithms to characterise malaria parasite population structure from genetic distance matrices
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Title
A cautionary note on the use of unsupervised machine learning algorithms to characterise malaria parasite population structure from genetic distance matrices
Authors
Keywords
Malarial parasites, Malaria, Machine learning algorithms, Genetic epidemiology, Genetics, Population genetics, DNA recombination, Plasmodium
Journal
PLoS Genetics
Volume 16, Issue 10, Pages e1009037
Publisher
Public Library of Science (PLoS)
Online
2020-10-10
DOI
10.1371/journal.pgen.1009037
References
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