Skip to main content

easydecon

Project description

Easydecon

A package to analyze celltypes on high definition spatial profiling assays

Installation

It is recommended to install the package in a virtual environment or a Conda environment. To create a Conda environment, run the following command:

conda create -n easydecon python=3.11
conda activate easydecon

To install directly from GitHub using pip into the active environment, run the following command:

pip install git+https://github.com/sinanugur/easydecon.git

Usage and Documentation

You may find our example notebooks in the notebooks folder.

  • Demo notebook for a single-cell Anndata object (demo)[https://github.com/sinanugur/easydecon/blob/main/notebooks/demo.ipynb]
  • Demo notebook for macrophage markers (demo_macrophage)[https://github.com/sinanugur/easydecon/blob/main/notebooks/demo_macrophage.ipynb]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

easydecon-0.1.0a0.tar.gz (17.3 kB view details)

Uploaded Source

File details

Details for the file easydecon-0.1.0a0.tar.gz.

File metadata

  • Download URL: easydecon-0.1.0a0.tar.gz
  • Upload date:
  • Size: 17.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.7

File hashes

Hashes for easydecon-0.1.0a0.tar.gz
Algorithm Hash digest
SHA256 dec98a4c155284241bc800b3fa198df7c9da76b4c9233750179fb31f97f3595b
MD5 712659c98c01b88d0ab469e566b7f04c
BLAKE2b-256 891ff0de18d7483b1d3f146bcce4415fd77b9374a02e56b0def2d24ef9861c0b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page