Click on a button corresponding to an expression quality control process. Refer to the table below for guidance.
Displaying univariate distribution results for variables , with the option of computing and overlaying density estimates Computing correlations between numeric variables , principal components of the correlation matrix, an outlier analysis, and a variance components decomposition Computing correlations and scatterplot matrices for expression measurements across groups of arrays Replacing missing values in a data matrix with values computed from nonmissing values in the same row, performing a rowwise imputation Visually examining a hybridization image pattern created from specified Z variables plotted over common X and Y variables, or performing spatial background correction for microarray dataSee Expression for other subcategories.