Tag: Spatial transcriptomics

A new benchmarking framework called SpaBEAT defines four types of batch effects in spatial transcriptomics and shows that no correction ...

A new Nature Methods study introduces spatial isoform sequencing tools that reveal cell-type-specific RNA isoform variability across mouse brain tissue ...

Researchers have built an open-source single-cell framework that maps injury, resolution and antigen-presentation programs in tumor myeloid cells across cancers.

Researchers have developed scFormer, a heterogeneous graph transformer framework that identifies rare cell states in single-cell and spatial transcriptomic data ...

A comprehensive bibliometric analysis of 979 publications reveals how single-cell RNA sequencing has evolved from cell cataloging to a dynamic, ...

A new Nature Genetics study combines spatial transcriptomics and lineage tracing to map how lung tumor subclones expand, reshape their ...

A new glycoproteomic analysis shows that protein-residual N-glycosylation of extracellular matrix proteins marks a myCAF-enriched stromal state in pancreatic ductal ...

New research shows that the transcription factor SOX9 primes Hippo–YAP/TAZ pathway rewiring during a narrow early window of stemness acquisition ...

Researchers at Brown University have developed SCIGMA, a deep learning framework that integrates up to five spatial omics modalities across ...

A multi-omics study traces cervical carcinogenesis from normal tissue to invasive cancer and identifies galectin-9-driven immune evasion as a promising ...