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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.

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SNPknock-0.8.3.tar.gz (66.3 kB view hashes)

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