mmcci 1.0.8

A Python package for processing multi-platform, multi-sample CCI data

MMCCI: Multi-platform, Multi-sample Cell-Cell Interaction Integrative Analysis of Single Cell and Spatial Data

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MMCCI is a fast and lightweight Python package for integrating and visualizing CCI networks. It works on scRNA-seq and spatial transcriptomics data samples that have been processed through CCI algorithms including stLearn, CellChat, CellPhoneDB, NATMI, and Squidpy.

Getting Started

Installation

MMCCI can be installed with pip

pip install mmcci

Documentation

Documentation is available at the Read the Docs

CCI Integration

MMCCI allows users to integrate multiple CCI results together, both:

1. Samples from a single platform (eg. Visium)
2. Samples from multiple platforms (eg. Visium, Xenium, CosMx, CODEX)

CCI Analysis

MMCCI provides multiple useful analyses that can be run on the integrated networks or from a single sample:

1. Network comparison between groups with permutation testing
2. CLustering of LR pairs with similar networks
3. Clustering of spots/cells with similar interaction scores
4. Sender-receiver LR querying
5. GSEA pathway analysis

Citing MMCCI

If you have used MMCCI in your research, please consider citing us:

BSD License

Copyright (c) 2024, Genomics and Machine Learning lab All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

• Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

• Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

• Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.