Simulator for spatially resolved transcriptomics data with multiple spatial variability patterns. Long Description (required)
scCube uses a VAE-based framework to simulate spatially resolved transcriptomics data, preserving spatial expression patterns and enabling reproducible generation of diverse SRT variability types across cell or spot populations. spatial transcriptomics; SRT; single-cell; variational autoencoder; Python; GPL-3.0 https://github.com/ZJUFanLab/scCube
Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator.
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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