IEEE

Spatially Resolved Transcriptomics Data Clustering With Modality Conflict Modulation

Abstract: Spatial transcriptomics (ST) clustering identifies distinct spatial domains within tissues and elucidates cellular interactions. While this approach has advanced human understanding of ...
BioSpace

Bioptimus Announces STELA: The World’s Largest Clinically Linked Spatial Biology Atlas, alongside key partners 10x Genomics and Broad Clinical Labs

The global initiative aims to profile up to 100,000 patient specimens to scale M-Optimus, the world model of biology, representing a ~20x increase in scale over existing data available in the world ...
Frontiers

Investigating the role of the TGF-β–SLC20A1 axis in the spatial heterogeneity of hepatocellular carcinoma through single-cell and spatial transcriptomics

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 ...
Frontiers

Multiomics integration of single-cell transcriptomics and bulk sequencing data identifies key biomarkers and predictive models for IBD subtype classification

Inflammatory bowel disease (IBD), comprising ulcerative colitis (UC) and Crohn’s disease (CD), represents a diagnostic challenge owing to its overlapping clinical features. Precise molecular ...
IEEE

PGST: A prototype-guided parameter-efficient network for spatial transcriptomics prediction

Abstract: Spatial transcriptomics (ST) aims to decode spatially resolved gene expression patterns while preserving tissue morphology. Current methods tend to use lower-cost deep learning approaches ...