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

    Bhagesh Hunakunti
    GPL-3.0-or-later · source

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    • preprocess.read_olink
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    preprocess.read_olink

    preprocess.read_olink(path, *, index_col=0, obs=None)

    An Olink NPX matrix: samples x proteins, values already log2.

    The values are left exactly as they are. NPX is the unit the coefficients were fitted in, and helpfully exponentiating it would produce a linear quantity no model here expects.

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