Ontology highlight
ABSTRACT:
SUBMITTER: Goralska M
PROVIDER: S-EPMC7593958 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
Góralska Magdalena M Bińkowski Jan J Lenarczyk Natalia N Bienias Anna A Grądzielewska Agnieszka A Czyczyło-Mysza Ilona I Kapłoniak Kamila K Stojałowski Stefan S Myśków Beata B
International journal of molecular sciences 20201012 20
The standard approach to genetic mapping was supplemented by machine learning (ML) to establish the location of the rye gene associated with epicuticular wax formation (glaucous phenotype). Over 180 plants of the biparental F<sub>2</sub> population were genotyped with the DArTseq (sequencing-based diversity array technology). A maximum likelihood (MLH) algorithm (JoinMap 5.0) and three ML algorithms: logistic regression (LR), random forest and extreme gradient boosted trees (XGBoost), were used ...[more]