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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)
Dynamic Organism State Indicator
Meta-analysis of aging transcriptomes
Computational Model of Parkinson’s Disease
Unsupervised aging
Projects 2023 (2nd wave)
Transcriptomics-based longevity drug discovery (2023)
Senescent cell turnover slowdown with age providing an explanation for the Gompertz law
Modeling Rate Of Senescence
AutoInsight: AI-Powered Article Analysis Project
Projects 2025
Transcriptomics-based longevity drug discovery (2025)
Aging in complex interdependency networks
Aging Research Digest: A Daily AI-Powered Literature Alert for Geroscience
Repository
Open issue
Index
