Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning.
Jakub Horvath, Pavel Jedlička, Marie Krátká, Zdeněk Kubát, Eduard Kejnovský, Matej Lexa
The paper uses machine learning to classify plant LTR retrotransposons and identifies biologically relevant motifs through explainability analysis.
bioRxiv · Jun 11, 2024 · PreprintBioinformatics