Abstract: Transformer-basedmethods have attracted attention in hyperspectral image (HSI) classification due to their powerful global modeling capability. However, the existing Transformer-based ...
This important study advances a new computational approach to measure and visualize gene expression specificity across different tissues and cell types. The framework is potentially helpful for ...
Ulcerative colitis (UC) is driven by mucosal inflammation and epithelial injury. Single cell RNA sequencing (scRNA-seq) enables high resolution profiling of immune, stromal and epithelial compartments ...
Abstract: The latest spatial transcriptomics (ST) technology can characterize spatial-resolved intra-tumor heterogeneities, and while large-scale traditional bulk transcriptomic datasets possess ...
Prostate cancer affects one in five Australian men, making it the most common cancer in the country. Now, researchers at the Garvan Institute of Medical Research have produced the world's most ...
Hepatocellular carcinoma (HCC) is a highly heterogeneous malignancy characterized by marked cellular and spatial diversity within the tumor microenvironment (TME). The transforming growth factor-β ...
Spatial computing is a technological concept that combines the physical and digital worlds into a single interactive environment where people, digital, and physical objects can interact, using a group ...
Mount Sinai researchers have published the first organ-wide human skin spatial atlas from across the body. It provides an unprecedentedly detailed view of healthy human skin, revealing cellular ...
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