The origin of many diseases begins at the cellular level and involves multiple molecular interactions. However, previous methods have struggled to accurately observe changes in individual cells.
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 ...
The country’s first end-to-end workflow unites IRB Barcelona’s core facilities to support spatial omics for researchers, ...
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 collaborations will provide Illumina's customers with workflows for genomic disease characterization and spatial mapping.
aDepartment of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA bDivision of Molecular Psychiatry, Department of Psychiatry, Yale University School of Medicine, ...
The rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...
Abstract: Spatial transcriptomics has revolutionized the ability to investigate transcriptional patterns within tissue morphology. However, many ST clustering pipelines operate on a single preselected ...
A new software tool, ovrlpy, improves quality control in spatial transcriptomics, a key technology in biomedical research. Developed by the Berlin Institute of Health at Charité (BIH) in international ...
Graph Convolutional Networks (GCNs) are widely applied for spatial domain identification in spatial transcriptomics (ST), where node representations are learned by aggregating information from ...
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