Metadata-Version: 2.1
Name: spatialtis
Version: 0.0.0
Summary: Ultra-fast spatial analysis toolkit for large-scale spatial single-cell data
Home-page: https://github.com/Mr-Milk/SpatialTis
Author-email: yb97643@um.edu.mo
License: Apache License 2.0
Description: <p align="center">
        <img src="https://raw.githubusercontent.com/Mr-Milk/SpatialTis/master/img/Logo.svg" width="200"/>
        <p/>
        
        
        # SpatialTis
        [![Documentation Status](https://readthedocs.org/projects/spatialtis/badge/?version=latest&style=flat-square)](https://spatialtis.readthedocs.io/en/latest/?badge=latest)
        ![CI](https://flat.badgen.net/github/status/Mr-Milk/SpatialTis?icon=github&label=CI)
        ![codecov](https://flat.badgen.net/codecov/c/github/Mr-Milk/SpatialTis)
        ![pypi](https://flat.badgen.net/pypi/v/spatialtis?color=blue)
        ![licence](https://flat.badgen.net/github/license/Mr-Milk/SpatialTis)
        
        SpatialTis is an ultra-fast spatial analysis toolkit for large-scale spatial single-cell data.
        
        - ✔️ Spatial Transcriptome (Non single-cell)
        - ✔️ Spatial Proteome (Single-cell)
        - 🦀 Core algorithms implements in Rust
        - 🚀 Parallel processing support
        
        ### 🔋 Highlighted spatial analysis
        
        - Cell neighbors search (KD-Tree/R-Tree/Delaunay)
        - Cell-Cell Interaction
        - Marker spatial co-expression
        - Spatial variable genes (current support: SOMDE)
        - GCNG: Inferring ligand-receptor using graph convolution network
        - Identify neighbor dependent markers
        
        ### 📦 Other analysis
        
          - Spatial distribution
          - Hotspot detection
          - Spatial auto-correlation
          - Spatial heterogeneity
        
        [Quick Start](https://spatialtis.readthedocs.io/en/latest/usage/get_started.html)
        
        
        ## Installation
        
        ### pypi
        
        Install the basics
        
        ```shell
        pip install spatialtis
        ```
        
        For the full features
        
        ```shell
        pip install 'spatialtis[all]'
        ```
        
        Install the current development version
        
        ```shell
        pip install git+https://github.com/Mr-Milk/SpatialTis.git
        ```
        
        ## Low level API
        
        If you are interested in using low level algorithms yourself,
        Please refer to [spatialtis_core](https://github.com/Mr-Milk/SpatialTis-core)
        It provides clear document for all exposed API.
        
        ## Examples: IMC 1.8 millions cells
        
        Easily run SpatialTis with large dataset in minutes.
        
        <img src="https://github.com/Mr-Milk/SpatialTis/raw/master/img/showcase.png" width="500"/>
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Rust
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: dev
Provides-Extra: all
