HIGHLIGHTS
SUMMARY
Stereoscope and RCTD models count data with negative binomial (NB) and Poisson regression, respectively, to perform cell type decomposition. gimVI models count data with either NB or zero-inflated NB (ZINB) for missing gene_expression imputation. The authors present a comprehensive analysis on 20 spatial transcriptomics datasets collected from 11 distinct technologies to characterize the distributional properties of the gene_expression count data and understand the statistical property of the zero values. Specifically, for each data in turn, the authors carried out cross-gene analysis, gene-specific analysis, location-specific analysis and conditional analysis to characterize . . .
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