Exploring the potential of incremental feature selection to improve genomic prediction accuracy
Background The ever-increasing availability of high-density genomic markers in the form of
single nucleotide polymorphisms (SNPs) enables genomic prediction, ie the inference of …
single nucleotide polymorphisms (SNPs) enables genomic prediction, ie the inference of …
Deep learning the cis-regulatory code for gene expression in selected model plants
FF Peleke, SM Zumkeller, M Gültas, A Schmitt… - Nature …, 2024 - nature.com
Elucidating the relationship between non-coding regulatory element sequences and gene
expression is crucial for understanding gene regulation and genetic variation. We explored …
expression is crucial for understanding gene regulation and genetic variation. We explored …
Improving genomic prediction of rhizomania resistance in sugar beet ( Beta vulgaris L.) by implementing epistatic effects and feature selection
TM Lange, F Heinrich, F Kopisch-Obuch… - …, 2023 - f1000research.com
Background: Rhizomania counts as the most important disease in sugar beet (Beta vulgaris
L.) for which no plant protection is available, leaving plant breeding as the only defence …
L.) for which no plant protection is available, leaving plant breeding as the only defence …