A Functional Approach To Impute Genetically Regulated Expression

Documentation for package ‘AffiXcan’ version 1.22.0

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