Replication data for: Application of Integrated Nested Laplace Approximation to identify hotspots of methylation heterogeneity in healthy individuals from the MAMELI cohort
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https://dataverse.unimi.it/citation?persistentId=doi:10.13130/RD_UNIMI/E5WJHP
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Replication data (inputs, code, softare version used) and outputs generated for the manuscript "Application of integrated nested Laplace approximation to identify hot spots of methylation heterogeneity in healthy individuals from the MAMELI cohort" (https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2026.1787544/full).
The study applies the Integrated Nested Laplace Approximation (INLA) to fit GLMMs to identify CpG sites with high inter-individual methylation variability across a panel of inflammation/stress-related genes. The dataset contains methylation data derived from nanopore sequencing of 158 healthy blood donors enrolled in the MAMELI cohort. For further information see the README.md file, which contains the general documentation with data structure.
Part of the MAMELI project study, more info at mameli.unimi.it and in the study protocol available at https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0326467
提供机构:
UNIMI Dataverse
创建时间:
2026-01-12



