.. GRASP documentation master file, created by
   sphinx-quickstart on Mon Aug  4 15:22:16 2025.
   You can adapt this file completely to your liking, but it should at least
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Welcome to GRASP’s page!
===================

What’s GRASP for?
""""""""
GRASP is a geometric deep learning framework designed to discover and quantify subcellular mRNA localization patterns from spatial transcriptomics data, capturing cell-to-cell heterogeneity without predefined categories or assumptions.

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What’s the model?
^^^^^^^^
The GRASP model combines a Graph Attention Network (GAT) for representation learning with a momentum contrastive learning module. It builds rotation-invariant transcript spot graphs (TSGs), learns embeddings through intra- and inter-cellular positive pairs, and optimizes both contrastive and spatial reconstruction objectives for robust pattern representation.


.. toctree::
   :maxdepth: 1
   :caption: Contents:

   01_Installation
   02_Simulated_data
   03_SeqFISH+_fibroblast_cell_line
   04_MERFISH_U2OS_cell_line
   05_MERFISH_intestine
   06_MERSCOPE_liver
   .. 07_demo