Supplemental material for "Identifying and validating blood mRNA biomarkers for acute and chronic insufficient sleep in humans: a machine learning approach"

Training and validation processed datasets used in the analyses can be found in the file called SleepDebt.zip which contains the following folders: TimeAwake, SleepIncreaseDecrease, ChronicSleepInsufficiency and AcuteSleepLoss. Each folder contains R object files [.RData] with training and validation datasets, prediction labels and R2 in each set and lambda used in the regression analyses. Instrument- or software-specific information needed to interpret the data: R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. Further information about the methodology used can be found in the journal paper (Sleep, Volume 42, Issue 1, January 2019, zsy186).