# A Functional Approach To Impute Genetically Regulated Expression

## Documentation for package ‘AffiXcan’ version 1.29.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

AffiXcan-package | A functional approach to impute GReX
AffiXcan | A functional approach to impute GReX
affiXcanBs | Fit linear models and compute ANOVA p-values
affiXcanGReX | Compute a GReX from variables and their coefficients for a set of genes
affiXcanImpute | Impute a GReX for each gene for which a model was generated
affiXcanPca | Perform a PCA on each experiment found in MultiAssayExperiment objects
affiXcanPcs | Compute PCs in MultiAssayExperiment objects using eigenvectors given by user
affiXcanTrain | Train the model needed to impute a GReX for each gene
assoc2list | Reorganize associations table in a list
computeBs | Fit a linear model to impute a GReX for a certain gene
computeCorrelation | Compute R and R^2 on a particular row of two SummarizedExperiment assays
computeExpr | Compute the imputed GReX for a certain gene on a set of individuals
computePca | Perform a PCA on a matrix where columns are variables
computePcs | Compute a matrix product between variables and eigenvectors
computeRSquared | Compute R and R^2 between rows of two SummarizedExperiment assays
exprMatrix | Expression data of two genes for 229 individuals
overlookRegions | Count the number of genomic regions on which the TBA was computed
regionAssoc | Associations between regulatory regions and expressed genes
subsetKFold | Split the numbers from 1 to n in k equally-sized lists
trainingCovariates | Covariates of the population structure for 229 individuals