Skip to main content

Generates knockoffs of HMMs and genetic data.

Project description

SNPknock is a simple Python package for creating knockoffs of hidden Markov models and genetic data.

This package implements the algorithms described in the following papers:

Feature highlights:

  • Generate knockoffs for discrete Markov chains (DMC).
  • Generate knockoffs for hidden Markov models (HMM).
  • Generate knockoffs for genotype and haplotype data.
  • Provides a user-friendly interface for fitting an HMM to genetic data using the software fastPhase.

If you want to learn about applying SNPknock to analyze data from large genome-wide association studies, see KnockoffZoom:

Released under the GPL-v3 license - see the file LICENSE in the source distribution.

Project details

Download files

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

Files for SNPknock, version 0.8.3
Filename, size File type Python version Upload date Hashes
Filename, size SNPknock-0.8.3.tar.gz (66.3 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page