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

Title:: A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species
Document type:: Zeitschriftenaufsatz
Author(s):: John, Maura; Haselbeck, Florian; Dass, Rupashree; Malisi, Christoph; Ricca, Patrizia; Dreischer, Christian; Schultheiss, Sebastian J.; Grimm, Dominik G.
Journal title:: Frontiers in Plant Science
Year:: 2022
Journal volume:: 13
Reviewed:: ja
Fulltext / DOI:: doi:10.3389/fpls.2022.932512
Publisher:: Frontiers Media SA
E-ISSN:: 1664-462X
Status:: Erstveröffentlichung
Date of publication:: 04.11.2022
CC license:: by, http://creativecommons.org/licenses/by/4.0

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