Benchmarking imputation methods for categorical biological data

Benchmarking imputation methods for categorical biological data

Abstract Trait datasets are at the basis of a large share of ecology and evolutionary research, being used to infer ancestral morphologies, quantify species extinction risks, or evaluate the functional diversity of biological communities. These datasets, however, are often plagued by missing data, f...

Полное описание

Библиографические подробности
Главные авторы:	Matthieu Gendre, Torsten Hauffe, Catalina Pimiento, Daniele Silvestro
Формат:	Статья
Язык:	English
Опубликовано:	Wiley 2024-09-01
Серии:	Methods in Ecology and Evolution
Предметы:	categorical missing data deep learning ensemble method machine learning phylogenetic imputation
Online-ссылка:	https://doi.org/10.1111/2041-210X.14339

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