BINF301 Machine Learning for Systems Biology
  1. Gaussian processes
  2. Implementation
  • Home
  • Introduction to Julia
  • Cluster analysis
    • Path-breaking paper
    • Theory
    • Implementation
  • Statistical significance
    • Path-breaking paper
    • Theory
    • Implementation
  • Regularized regression
    • Path-breaking paper
    • Theory
    • Implementation
  • Dimensionality reduction
    • Path-breaking paper
    • Theory (PCA)
    • Theory (t-SNE, UMAP)
    • Implementation
  • Causal inference
    • Path-breaking paper
    • Theory
    • Implementation
  • Bayesian networks
    • Path-breaking paper
    • Theory
  • Gaussian processes
    • Path-breaking paper
    • Theory
    • Implementation
  • Neural networks
    • Path-breaking paper
    • Theory
  • Appendix
  1. Gaussian processes
  2. Implementation

Dimensionality reduction notebook

A Pluto notebook “Gaussian_processes.jl” is available:

  • On JuliaHub
  • In the BINF301-code repository

Make sure you have followed the software installation instructions in the Introduction to Julia page!

Theory
Path-breaking paper