.. Castl_test documentation master file, created by
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Castl: A Consensus Framework for Robust Identification of Spatially Variable Genes in Spatial Transcriptomics
========================

Overview
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**Castl** is a novel consensus-based analytical framework designed to enhance the accuracy and robustness of spatially variable genes identification for spatially resolved transcriptomics through statistically rigorous algorithms, including **rank aggregation**, **p-value aggregation**, and **Stabl aggregation**. Comprehensive evaluations on both simulated and real-world data demonstrate that Castl consistently identifies biologically meaningful spatial expression patterns, mitigates method-specific biases and effectively controls FDRs across various biological contexts, resolutions, and spatial technologies. This flexible, assumption-free framework offers a robust and standardized foundation for spatially informed feature discovery in complex biological systems. 

.. image:: ../figures/Figure1_workflow.png
 :width: 1400

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

   Installation.rst
   tutorials/Tutorial1_CRC.ipynb
   tutorials/Tutorial2_DLPFC.ipynb
   tutorials/Tutorial3_Stereoseq_MOB.ipynb
   tutorials/Tutorial4_SlideseqV2_MOB.ipynb
   tutorials/Tutorial5_MERFISH.ipynb