Skip to main content

Framework for differential microbiome abundance using Bayesian inference

Project description

BIRDMAn

GitHub Actions CI Documentation Status PyPI DOI

Bayesian Inferential Regression for Differential Microbiome Analysis (BIRDMAn) is a framework for performing differential abundance analysis through Bayesian inference.

See the documentation for details on usage.

For an example of running BIRDMAn - see this Google Colab notebook.

Installation

Currently BIRDMAn requires Python 3.8 or higher.

We recommend using mamba for installation of dependencies.

mamba install -c conda-forge biom-format patsy xarray arviz cmdstanpy
pip install birdman

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

birdman-0.2.0.tar.gz (20.8 kB view details)

Uploaded Source

File details

Details for the file birdman-0.2.0.tar.gz.

File metadata

  • Download URL: birdman-0.2.0.tar.gz
  • Upload date:
  • Size: 20.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for birdman-0.2.0.tar.gz
Algorithm Hash digest
SHA256 8dea7771c7255183045060f6e115da7a27e4bece7bdc4225ef9582088ea74d07
MD5 05b436110fc3cd7977ed64b36d2d53a7
BLAKE2b-256 f139e976dfc7b6b39ea49b308462f77d6502061fea5262f368efae7b45305e20

See more details on using hashes here.

Supported by

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