You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.
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.
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.