Probabilistic uncertainty in virtual spatial transcriptomics from histology is largely redundant with the predicted mean
Thomas Batique, Kalin Nonchev, Viktor Hendrik Koelzer, Gunnar Rätsch
This study benchmarks uncertainty estimation in virtual spatial transcriptomics, finding that predicted means largely explain prediction error, and uncertainty provides limited additional information.
bioRxiv · Oct 24, 2026 · PreprintBioinformatics