The preprint is available here. DeepSpot2Cell predicts virtual single-cell spatial transcriptomics as follows: (1) During training, the model takes as input (i) the cropped cell tile defined by the ...

Abstract: Predicting disease-gene associations is crucial in human health for understanding the genetic basis of diseases, identifying potential therapeutic targets, and advancing personalized ...

Researchers at the John Innes Center and the Earlham Institute are pioneering powerful single-cell visualization techniques that could unlock higher yields of global wheat.

Abstract: The availability of public charging infrastructure is essential for accelerating the widespread adoption of electric vehicles (EVs). However, because EVs consume significant amounts of ...