/SpatialOmicsGPs.jl

Gaussian process models for spatial transcriptomics

Primary LanguageJuliaMIT LicenseMIT

SpatialOmicsGPs

A crude (for now) implementation of various Gaussian process models for spatial transcriptomics data. Currently planned to contain implementations of:

SpatialDE [Svensson et al.]:

  • Variance parameter estimation in SpatialDE model
  • Statistical significance of spatial vs. non-spatial covariance
  • Expression histology

Spatial Variance Component Analysis (SVCA) [Arnol et al.]:

  • Variance parameter estimation in SVCE model

The package is developed in parallel with another package, FaSTLMMlight that provides the variance parameter estimation methods used here.

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