Tomas Iešmantas

Prediction residuals in spatial transcriptomics reveal microenvironmental heterogeneity in cancer

Predictive models, as applied in computational pathology, are typically evaluated by accuracy, while their residuals are discarded as errors. In this paper we show that these residuals contain structured biological information. We introduce and validate a conditional discordance...