https://github.com/yenklabs/human-genomic-meta-analysis
A computational biology project exploring genomic patterns related to aging, telomere length, and biological variation through meta analysis, statistical modeling, and reproducible data workflows.
https://github.com/yenklabs/human-genomic-meta-analysis
computational-biology data-science genomics-analysis healthtech machine-learning quantitative-genetics
Last synced: 17 days ago
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A computational biology project exploring genomic patterns related to aging, telomere length, and biological variation through meta analysis, statistical modeling, and reproducible data workflows.
- Host: GitHub
- URL: https://github.com/yenklabs/human-genomic-meta-analysis
- Owner: yenklabs
- License: gpl-3.0
- Created: 2023-01-07T15:35:04.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-01-07T16:59:06.000Z (over 3 years ago)
- Last Synced: 2026-06-04T21:50:22.193Z (about 2 months ago)
- Topics: computational-biology, data-science, genomics-analysis, healthtech, machine-learning, quantitative-genetics
- Language: Jupyter Notebook
- Homepage:
- Size: 553 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
### human-genomic-meta-analysis
Meta analysis of genomic studies to better understand how aging impacts telomeres length in wild animals using Machine Learning predictions and simple Linear Regression modeling for now. I'll dive deeper using several datasets of wild animals that were previously studied to generate predictions if age has to do with RTL (telomere's relative biomarker to measure a DNA's physiological age across mamals).