Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...
The study presents convincing quantitative evidence, supported by appropriate negative controls, for the presence of low-abundance glycine receptors (GlyRs) within inhibitory synapses in telencephalic ...
Tea plants are known for their ability to accumulate aluminum (Al), a trait that is beneficial for growth at optimal levels ...
As the world faces a surge of new synthetic chemicals and increasingly complex toxicity patterns, traditional animal testing ...
Fed's QT halt supported by most policymakers, effective Dec. 1 QT aimed to draw down panemic era liquidity provisions Large balance sheet raises concerns, but seen as necessary by some officials Nov ...
DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images
Do you want to generate spatial transcriptomics data using your H&E images? We introduce DeepSpot, a novel deep-learning model that predicts spatial transcriptomics from H&E images. DeepSpot employs a ...
The liver is remarkable for its ability to regenerate after injury, yet when this process fails, acute liver failure (ALF) carries devastating outcomes. Traditional research methods, reliant on bulk ...
Spatial transcriptomics enables researchers to measure gene expression in tissue sections while preserving their spatial organisation. Unlike traditional RNA sequencing, which requires dissociating ...
Quantitative easing (QE) has been criticized for helping fuel the post-COVID inflation boom and causing large central bank losses. In this paper, we argue that QE should be evaluated mainly on its ...
Abstract: Spatial transcriptomics analysis methods offer an opportunity to investigate highly diverse biological tissues. Cell-cell communication is fundamental for maintaining physiological ...
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