GLAND: A Global and Local Attention‐Based Framework for Detecting Small and Non‐Continuous Spatial Domains
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Welcome to the official documentation for GLAND. This tutorial provides a step-by-step guide to processing spatial transcriptomics data and identifying spatial domains.

.. toctree::
   :maxdepth: 1
   :caption: Installation

   installation

.. toctree::
   :maxdepth: 2
   :caption: Tutorial 1: DLPFC

   tutorial_1/GLAND-Tutorial1.ipynb

.. toctree::
   :maxdepth: 3
   :caption: Tutorial 2: Spatial Outlier Detection

   tutorial_2/GLAND-Tutorial2.ipynb

.. toctree::
   :maxdepth: 4
   :caption: Tutorial 3: Hepatic Lobular

   tutorial_3/GLAND-Tutorial3.ipynb

.. toctree::
   :maxdepth: 5
   :caption: Tutorial 4: Breast Cancer Analysis with GLAND (UMAP)

   tutorial_4/GLAND-Tutorial4.ipynb

.. toctree::
   :maxdepth: 6
   :caption: Tutorial 5: Expression Enhancement

   tutorial_5/GLAND-Tutorial5.ipynb

About GLAND
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GLAND is designed to extract high-level features from spatial transcriptomics data. It is compatible with various platforms, spanning from sequencing-based methods (10x Visium, Stereo-seq, and ST) to imaging-based technologies (MERFISH, osmFISH, BaristaSeq, and STARmap).