Skip to content
#

additive-models

Here are 22 public repositories matching this topic...

PAGER is an efficient genotype encoding strategy designed to improve the detection of non-additive genetic variation in complex trait association studies and epistasis investigation. PAGER dynamically encodes genetic variants or multi-locus genotypes (MLG) by normalizing mean phenotypic differences between genotype/MLG classes.

  • Updated Oct 16, 2024
  • Python

PAGER is an efficient genotype encoding strategy designed to improve the detection of non-additive genetic variation in complex trait association studies and epistasis investigation. PAGER dynamically encodes genetic variants or multi-locus genotypes (MLG) by normalizing mean phenotypic differences between genotype/MLG classes.

  • Updated Oct 25, 2024
  • Python

Improve this page

Add a description, image, and links to the additive-models topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the additive-models topic, visit your repo's landing page and select "manage topics."

Learn more