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.