FALCONAge
Contents
1. Start
What FALCONAge is
Install
Getting started
Using FALCONAge from Claude
2. Your data
Loading your data
Preprocessing and coverage
Raw arrays to betas
3. Clocks
Choosing a clock
What a score means
Clock catalogue
4. Analysis
Age acceleration
Uncertainty
Clinical chemistry and survival
Benchmarking
Beyond the clock score
Figures and reports
Figure gallery
5. Methods
The science of aging clocks
Biology and measurement
Algorithm families
Published formulas
The clocks, by family
Genotype and structure
Building a clock
Failure modes and the frontier
Datasets and resources
6. Reference
Python reference
R reference
References
7. Developer notes
Architecture
Core engine and registry
Algorithms
Modules
R package
Docker, testing and CI
GPU support
Design history
Other software
Appendices
Download
Documentation (PDF)
Documentation (markdown ZIP)
1. Start
What FALCONAge is
Install
Getting started
Using FALCONAge from Claude
2. Your data
Loading your data
Preprocessing and coverage
Raw arrays to betas
3. Clocks
Choosing a clock
What a score means
Clock catalogue
4. Analysis
Age acceleration
Uncertainty
Clinical chemistry and survival
Benchmarking
Beyond the clock score
Figures and reports
Figure gallery
5. Methods
The science of aging clocks
Biology and measurement
Algorithm families
Published formulas
The clocks, by family
Genotype and structure
Building a clock
Failure modes and the frontier
Datasets and resources
6. Reference
Python reference
R reference
References
7. Developer notes
Architecture
Core engine and registry
Algorithms
Modules
R package
Docker, testing and CI
GPU support
Design history
Other software
Appendices
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plot.study_comparison
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plot.study_comparison
plot.study_comparison(result, clock,
*
, dataset_col
=
'dataset'
)
Score distribution split by study.