Analyze cellular niches in single-cell spatial transcriptomics data
Project description
Monkeybread: Analyze single-cell spatial transcriptomics data
About
Monkeybread is a Python package that facilitates the analysis of single-cell resolution spatial transcriptomics data such as those generated by the MERSCOPE or Xenium platforms.
Monkeybread provides tools that enable:
- Identification of cellular niches (i.e., regions with distinct compositions of cell types)
- Visualization of density of cell types across the tissue
- Statistical tests for testing for colocalization between cell types
- Statistical tests and visualiziation for ligand-receptor co-expression between neighboring cells
Monkeybread operates on datasets stored as AnnData objects and thus, can be integrated into analyses that use packages from the scverse such as scanpy or squidpy.
Monkeybread was developed at Immunitas Therapeutics.
Installation
To install Monkeybread using pip, run the following command:
pip install monkeybread
Usage
Documentation
For Monkeybread's API manual, please visit the documentation.
Tutorial
For a tutorial on running Monkeybread, please see the tutorial.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file monkeybread-1.0.3.tar.gz
.
File metadata
- Download URL: monkeybread-1.0.3.tar.gz
- Upload date:
- Size: 8.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0dc034f684fcab1ce14f825e67f8952a8caafcbd483af4a8443b9964a9f0c788 |
|
MD5 | 0c025d4134137b7d039cc5f82658788d |
|
BLAKE2b-256 | 2ba284a826947ed492e0884bbf1940d5028cce723efff1cf92a8ac3dc759e84b |
File details
Details for the file monkeybread-1.0.3-py3-none-any.whl
.
File metadata
- Download URL: monkeybread-1.0.3-py3-none-any.whl
- Upload date:
- Size: 76.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 21aea7124b4ae401c75bad6798fa5fc6e7d03aabe57a24cb410709fc00f3642d |
|
MD5 | 0670f3a0652ceca0fec697250a5d7d8b |
|
BLAKE2b-256 | 0e1f26092dc2a59d88b828ffb3279de5fa543a02b0d867cd044951c31f77ad3a |