R/Bioconductor package for simulating spatial transcriptomics count data with Gaussian processes. Long Description (required)
spatialSimGP simulates spatial transcriptomics data using a Gaussian Process model per gene, preserving spatial variation and a mean-variance relationship on raw count scale. spatial transcriptomics; Gaussian process; gene expression; count simulation; Poisson; R; Bioconductor https://bioconductor.org/packages/spatialSimGP/
Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator.
Every sub-attribute is selected Not all sub-attributes are selectedFill Clear Expand Collapse Reset
Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s).
Can't Find the Attribute You Are Looking For? If you would like to propose an attribute that you cannot find in the tree above, or if you would like to add a clarification to one or more attributes for this simulator (e.g. a specific file format for attribute /Output/File Format/Other), please list them in the Additional Comment box of the Submit tab .
Summary of Proposed Changes Current Citations/Applications