Code and models for "Modeling the human aging transcriptome across tissues, health status, and sex"
Published: 27 August 2024| Version 1 | DOI: 10.17632/7h56z236zn.1
Contributor:
Max ShokhDescription
R code and R models for the manuscript: "Modeling the human aging transcriptome across tissues, health status, and sex" https://doi.org/10.1111/acel.13280
Files
Steps to reproduce
Please see the publication for methods details and the code uploaded "AnalysisCleanedUp.R" for additional details.
Institutions
- Salk Institute for Biological Studies
Categories
Genomics, Bioinformatics, Machine Learning, Aging