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Computational aging book
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
Practice - Survival analysis with ML
5. Advanced survival analysis
Practice - Deep survival analysis
6. Aging Clocks
Practice - DIY Aging Clocks
Models of Aging
7. Complex systems approach
8. System resilience
Student projects 2023
Projects 2023 (1-st wave)
Dynamic Organism State Indicator
Meta-analysis of aging transcriptomes
Computational Model of Parkinson’s Disease
Unsupervised aging
Projects 2023 (2-nd wave)
Transcriptomics-based longevity drug discovery
Senescent cell turnover slowdown with age providing an explanation for the Gompertz law
Modeling Rate Of Senescence
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Projects 2023 (1-st wave)
Projects 2023 (1-st wave)
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