Advancements in spatial perturbation transcriptomics (SPT) have revolutionized our understanding of cellular behavior in native tissue contexts by integrating spatial and perturbation data. However, ...
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 ...
Background: Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality, with limited efficacy of current therapies in advanced cases. As a key risk factor for HCC, liver ...
Abstract: Spatial transcriptomics (ST) are emerging technologies that reveal spatial distributions of gene expressions within tissues, serving as important ways to uncover biological insights. However ...
The final, formatted version of the article will be published soon. Abstract Background Acute pancreatitis (AP) is a severe inflammatory disease that frequently causes multi-organ damage, with ...
Spatial omics technologies enable the measurement of multiple molecular characterizations from the same tissue section while preserving spatial information, providing unprecedented opportunities to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results