Figure 2. Schematic of analysis pipeline developed to integrate multiple data types.

Analytes are merged and scaled. Initial univariate filtering leaves only those analytes with at least modest correlations to the outcome for each assay. Subsequent filtering (clustering) identifies best correlated analyte in a given cluster (regardless of assay). From these, a composite model is generated using LASSO with cross-validation. The box plots depict the minimum and maximum values (whiskers), the upper and lower quartiles, and the median. The length of the box represents the interquartile range.