Spatial biology is a rapidly advancing discipline that examines biological molecules (such as DNA, RNA, and proteins) within their native locations in tissues. This approach offers critical insight ...

Abstract: Spatial transcriptomics has revolutionized the ability to investigate transcriptional patterns within tissue morphology. However, many ST clustering pipelines operate on a single preselected ...

The rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...

Graph Convolutional Networks (GCNs) are widely applied for spatial domain identification in spatial transcriptomics (ST), where node representations are learned by aggregating information from ...

Dr. Hailing Shi to apply 3D spatial multi-omics to decode RNA regulation in the human brain and neurodegenerative diseases BOSTON, Jan. 28, 2026 /PRNewswire/ -- Stellaromics, a pioneer in ...

Artificial intelligence (AI) has become a common tool for bioinformatics, with hundreds of methods published in recent years. Due to the training data demands of deep-learning algorithms, ...

Foster City, Calif. | January 27, 2026 — Signios Bio today announced the launch of a new grant program supporting innovative spatial transcriptomics research using the 10x Genomics Xenium 5K Spatial ...

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 ...

Spatial transcriptomics includes a range of technologies, from sequencing-based platforms such as Visium, Slide-seq, and HDST to imaging-based methods including MERFISH, seqFISH+, and CosMx. Each ...

Spatial transcriptomics (ST) technologies reveal the spatial organization of gene expression in tissues, providing critical insights into development, neurobiology, and cancer. However, the high cost ...