easyPheno: An easy-to-use and easy-to-extend Python framework for phenotype prediction using Bayesian optimization

por Haselbeck, Florian, John, Maura, Grimm, Dominik G
Publicado 2023

Efficient permutation-based genome-wide association studies for normal and skewed phenotypic distributions

por John, Maura, Ankenbrand, Markus J, Artmann, Carolin, Freudenthal, Jan A, Korte, Arthur, Grimm, Dominik G
Publicado 2022

Superior protein thermophilicity prediction with protein language model embeddings

por Haselbeck, Florian, John, Maura, Zhang, Yuqi, Pirnay, Jonathan, Fuenzalida-Werner, Juan Pablo, Costa, Rubén D, Grimm, Dominik G
Publicado 2023

A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species

por John, Maura, Haselbeck, Florian, Dass, Rupashree, Malisi, Christoph, Ricca, Patrizia, Dreischer, Christian, Schultheiss, Sebastian J., Grimm, Dominik G.
Publicado 2022