Andrey Shternshis

The paper introduces a Gaussian random field model for imputing missing data in longitudinal microbiome studies, achieving comparable accuracy to baselines while modeling temporal and multivariate correlations.

The paper predicts food allergies and postpartum depression using microbiome time series data with imputation and logarithmic transformation, achieving balanced accuracies of 0.72 and 0.62 respectively.