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Author:
Alejandro Correa Rojo
Summary:
An sklearn implementation of discriminant analysis of principal components (DAPC) for population genetics
Latest version:
1.3.1
Required dependencies:
bed-reader
|
bio2zarr
|
joblib
|
matplotlib
|
numpy
|
pandas
|
scikit-learn
|
scipy
|
seaborn
|
sgkit
Optional dependencies:
build
|
mkdocs
|
mkdocs-jupyter
|
mkdocstrings
|
twine
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