Resumen
Motivation: Ageing is a biological and psychosocial process related to diseases and mortality. It correlates with changes in DNA methylation (DNAm) in all human tissues. Therefore, epigenetic markers can be used to estimate biological age using DNAm profiling across tissues. Results: We developed a Bioconductor package that allows computation of several existing DNAm adult/childhood and gestational age clocks. Functions to visualize the DNAm age prediction versus chronological age and the correlation between DNAm clocks are also available as well as other features, such as missing data imputation of cell types' estimates, that are required for DNAm age clocks.
Idioma original | Inglés |
---|---|
Páginas (desde-hasta) | 1759-1760 |
Número de páginas | 2 |
Publicación | Bioinformatics |
Volumen | 37 |
N.º | 12 |
DOI | |
Estado | Publicada - 15 jun 2021 |