Spatial omics is a new generation of technologies that allow scientists to study cells in their original location within tissues (without isolating or moving them from their environment).
Interpretation is the discipline through which molecular datasets reveal their significance. As the life sciences enter a new era defined by data richness and technological capacity, interpretive ...
Learn more about whether Tempus AI, Inc. or 10x Genomics, Inc. is a better investment based on AAII's A+ Investor grades, ...
Researchers from the Centre for Addiction and Mental Health (CAMH) and the Institute of Neurophysiology at Uniklinik RWTH Aachen in Germany have deciphered the molecular signature of so-called ...
Rheumatoid arthritis (RA) is a common autoimmune disease where the body's immune system mistakenly attacks the lining of its ...
Researchers have developed two innovative tools to help us delve deeper into cell communication, offering spatial insight ...
Researchers identify altered expression of genes that worsens periodontitis among smokers, and a new target molecule ...
Chronic liver disease (CLD) represents a major global public health challenge, necessitating a systematic understanding of its complex immunopathological mechanisms. This review comprehensively ...
Abstract: Spatial transcriptomics facilitates the generation of gene expression profiles while preserving spatial location information. In this paper, a model named AGAAE is proposed. This model ...
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 ...
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