Spatial transcriptomics and gene expression analysis represent a transformative approach in biomedical research, integrating the spatial context of tissues with high-resolution profiling of gene ...
This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.
Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...
Breast cancer remains one of the most prevalent and life-threatening forms of cancer, impacting millions worldwide. This malignancy's heterogeneity and complexity have long posed significant ...
Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...
(MEMPHIS, Tenn. – June 17, 2025) Single-cell RNA sequencing provides scientists with important information about gene expression in health and disease. However, the technique is expensive and often ...
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Investigating microglia’s role in Alzheimer’s pathology
Announcing a new article publication for BIO Integration journal. Alzheimer's disease (AD) is a neurodegenerative disorder ...
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