Compound selection for biomarker model development
We detected a total of 3596 compounds. To identify the compounds that most effectively distinguish between the CON (9h per night sleep opportunities) versus SR (5h per night sleep opportunities) groups, we applied a random forest (RF) algorithm. We chose RF for its ability to handle and integrate such a high number of variables and rank them by importance scoresProcess of identification of the top 25 compounds.