Biolearn

An open source platform for the evaluation and validation of biomarkers of aging.

Biolearn supports analysis and validation of biomarkers of aging. Here’s how:

Harmonizes existing aging biomarkers, while presenting a structured framework for novel biomarkers in standardized formats.

Unifies public datasets, ensuring coherent structuring and formatting, thus simplifying cross-population validation studies.

Provisions computational methodologies to assess any harmonized biomarker against unified datasets.

Biolearn is a first-in-class tooling for biomarkers of aging analysis and validation, featuring:

Tools to easily load data from publicly available sources like the Gene Expression Omnibus, National Health and Nutrition Examination Survey, and the Framingham Heart Study.

Reference implementations for common aging clocks such as the Horvath clock, DunedinPACE, and many others that can easily be run in only a few lines of code.

Integration of findings from the literature, our Biomarkers of Aging Challenge, and other key contributions.

Biolearn in Action

Presented by Albert Ying, co-lead of Biolearn, at our 2024 Biomarkers of Aging Conference. In this video, Albert introduces how Biolearn can evaluate and unify the validation of biomarkers of aging through curating and harmonizing large, high-quality omics and health datasets.

2024 Biolearn Roadmap
(2025 Roadmap Coming Soon!)

Biolearn Harmonized Cohorts

Our harmonized cohorts offer standardized datasets from publicly available sources such as the:

  • Gene Expression Omnibus.

  • National Health and Nutrition Examination Survey.

  • Framingham Heart Study.

This harmonization ensures consistency across diverse data types, facilitating more reliable analyses and comparisons in aging research. By providing these curated datasets, Biolearn enhances the efficiency and reproducibility of related studies.

Contribute to Biolearn

Contribute models, datasets, or bioinformatic tools to Biolearn, with either commercial or non-commercial licensing terms.

Our development team will facilitate harmonization of these assets and where needed, further develop them to adhere to software development best practices.

If you’d like to contribute specifically to Biolearn, get in touch with us on Discord or reach out to us at community@agingconsortium.org

Biolearn 0.7.0 released in January 2025.