spatialSimGP

spatialSimGP simulates spatial transcriptomics data with the mean-variance relationship using a Gaussian Process model per gene.

Key Features:

• Gaussian Process modeling: Employs a Gaussian Process model per gene to capture expression patterns.
• Mean-variance relationship: Incorporates the mean-variance relationship characteristic of spatial transcriptomics data.

Scientific Applications:

• Spatial transcriptomics simulation: Generates simulated spatial transcriptomics data for method development and benchmarking.

Methodology:

Simulates spatial transcriptomics data using a Gaussian Process model per gene with the mean-variance relationship.