A semi-parametric multiple imputation method for high-sparse, high-dimensional, compositional data
Michael B. Sohn, Kristin Scheible, Steven R. Gill
The paper introduces a semi-parametric multiple imputation method for high-sparse, high-dimensional compositional data and demonstrates its benefits in simulation studies and a T2D dataset.
bioRxiv · Sep 5, 2024 · PreprintBioinformatics