Single-Cell Image Analysis Package
Project description
Single-Cell Image Analysis Package
Scimap is a scalable toolkit for analyzing single-cell multiplex imaging data. The package uses the anndata framework making it easy to integrate with other popular single-cell analysis toolkits such as scanpy. It includes preprocessing, phenotyping, visualization, clustering, spatial analysis and differential spatial testing. The Python-based implementation efficiently deals with datasets of more than one million cells.
Installation
We strongly recommend installing scimap
in a fresh virtual environment.
# If you have conda installed
conda create --name scimap python=3.7
conda activate scimap
Install scimap
directly into an activated virtual environment:
$ pip install scimap
$ pip install napari[all] # For visualizing images
After installation, the package can imported as:
$ python
>>> import scimap as sm
Get Started
Detailed documentation of scimap
functions and tutorials are available here.
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