<i>Supporting data for “</i><b>Statistical Methods for Single Cell and Spatial Transcriptomics Analysis</b><i>”</i>

The field of single-cell and spatial transcriptomics has advanced significantly due to the development of sophisticated statistical methods. However, current methods for single cell analysis may not properly capture the variability in the data. Focusing on common single cell analysis tasks of differential composition analysis, data imputation, and informative variant selection, we develop new statistical methods.