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 |