Sex-specific non-linear DNA methylation trajectories across aging predict cancer risk and systemic inflammation

Abstract

Paste the final abstract here.
This repository contains the analysis code and minimal documentation to reproduce the results for the manuscript “Sex-specific non-linear DNA methylation trajectories across aging predict cancer risk and systemic inflammation.”

Please cite

Preprint (bioRxiv): Add link & DOI here
Full reference: Add the final journal citation here

When citing this repository, please also include the commit hash or release tag you used.

Getting started

This project uses renv for reproducible package versions.

# 1) Open the .Rproj to start a project-scoped session
# 2) Restore exact package versions
if (!requireNamespace("renv", quietly = TRUE)) install.packages("renv")
renv::restore()

# 3) (Optional) Rebuild this README from README.Rmd
if (!requireNamespace("devtools", quietly = TRUE)) install.packages("devtools")
if (!requireNamespace("rmarkdown", quietly = TRUE)) install.packages("rmarkdown")
devtools::build_readme()

Repository structure

.
├─ <project>.Rproj            # RStudio Project
├─ README.Rmd                 # this file (source)
├─ README.md                  # knitted output for GitHub
├─ renv.lock                  # frozen package versions
├─ renv/activate.R            # renv bootstrap
├─ R/                         # reusable functions
├─ analysis/                  # analysis scripts / notebooks
└─ .gitignore                 # ignores large/private files

Reproducing results

• Open the project (.Rproj), run renv::restore().

• Source helpers in R/ as needed, e.g.:

  source("R/snitch_pipeline_parts.R")

• Run analysis notebooks in analysis/ (e.g., Preprocessing_GSE51032_GSE246337.R, GSE246337_F_snitch.R).

Contact

For questions about this repository, please contact:
Robin Grolaux — robin.grolaux@monash.edu