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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Matthieu Gendre, Torsten Hauffe, Catalina Pimiento, Daniele Silvestro
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Wiley 2024-09-01
Sarja:Methods in Ecology and Evolution
Aiheet:
categorical missing data
deep learning
ensemble method
machine learning
phylogenetic imputation
Linkit:https://doi.org/10.1111/2041-210X.14339

Internet

https://doi.org/10.1111/2041-210X.14339

Samankaltaisia teoksia