Man pages for AffiXcan
A Functional Approach To Impute Genetically Regulated Expression
| affiXcanBs | Fit linear models and compute ANOVA p-values |
| affiXcanGReX | Compute a GReX from variables and their coefficients for a... |
| affiXcanImpute | Impute a GReX for each gene for which a model was generated |
| AffiXcan-package | A functional approach to impute GReX |
| affiXcanPca | Perform a PCA on each experiment found in... |
| affiXcanPcs | Compute PCs in MultiAssayExperiment objects using... |
| 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... |
| computeExpr | Compute the imputed GReX for a certain gene on a set of... |
| 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... |
| exprMatrix | Expression data of two genes for 229 individuals |
| overlookRegions | Count the number of genomic regions on which the TBA was... |
| 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 |
