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Welcome to the Computational Biology of Aging coursebook

Biology of Aging

1. Introduction to Aging Biology

Statistical analysis

2. Differential expression analysis
3. Omics Data Analysis in Aging: Methylomics
- Practice - WGCNA for Methylomics

Biomarkers of Aging

4. Survival analysis
5. Advanced survival analysis
- Practice - Survival analysis with ML
- Practice - Deep survival analysis
6. Aging Clocks
- Practice - DIY Aging Clocks

Models of Aging

7. Complex systems approach
8. System resilience

Student projects

Projects 2023 (1st wave)
Projects 2023 (2nd wave)
Projects 2025

Repository
Open issue

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Projects 2023 (1st wave)

Projects 2023 (1st wave)#

Final project reports by students of the first wave of the 2023 course.

Dynamic Organism State Indicator
Meta-analysis of aging transcriptomes
Computational Model of Parkinson’s Disease
Unsupervised aging

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8. System resilience

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Dynamic Organism State Indicator

By Kriukov Dmitrii

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