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Biologically meaningful genome interpretation models to address data underdetermination for the leaf and seed ionome prediction in Arabidopsis thaliana.
Sci Rep. 2024 Jun 8;14(1):13188. doi: 10.1038/s41598-024-63855-6.
Sci Rep. 2024.
PMID: 38851759
Free PMC article.
Genome interpretation in a federated learning context allows the multi-center exome-based risk prediction of Crohn's disease patients.
Raimondi D, Chizari H, Verplaetse N, Löscher BS, Franke A, Moreau Y.
Raimondi D, et al. Among authors: verplaetse n.
Sci Rep. 2023 Nov 9;13(1):19449. doi: 10.1038/s41598-023-46887-2.
Sci Rep. 2023.
PMID: 37945674
Free PMC article.
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Large sample size and nonlinear sparse models outline epistatic effects in inflammatory bowel disease.
Verplaetse N, Passemiers A, Arany A, Moreau Y, Raimondi D.
Verplaetse N, et al.
Genome Biol. 2023 Oct 5;24(1):224. doi: 10.1186/s13059-023-03064-y.
Genome Biol. 2023.
PMID: 37798735
Free PMC article.
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Editorial: Towards genome interpretation: Computational methods to model the genotype-phenotype relationship.
Raimondi D, Orlando G, Verplaetse N, Fariselli P, Moreau Y.
Raimondi D, et al. Among authors: verplaetse n.
Front Bioinform. 2022 Nov 30;2:1098941. doi: 10.3389/fbinf.2022.1098941. eCollection 2022.
Front Bioinform. 2022.
PMID: 36530385
Free PMC article.
No abstract available.
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