This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Spatial transcriptomics and gene expression analysis represent a transformative approach in biomedical research, integrating the spatial context of tissues with high-resolution profiling of gene ...

Co-first author Jiyuan Yang, PhD, St. Jude Department of Computational Biology and co-senior and corresponding author Jiyang Yu, PhD, St. Jude Department of Computational Biology interim chair look at ...

A recent integrative analysis of single-cell sequencing and single-cell spatial mapping of lymph node metastasis in breast ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

Breast cancer remains one of the most prevalent and life-threatening forms of cancer, impacting millions worldwide. This ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Curio Bioscience today announced it has commenced commercial operations with the launch of Curio Seeker, the world’s first high-resolution, whole-transcriptome ...

Illumina, Inc. (NASDAQ: ILMN) today announced new customer breakthroughs in oncology powered by Illumina's spatial transcriptomics, 5-base sequencing, and proteomics technologies. The ability to ...

Takara Bio USA collaborates with Illumina on a single-cell-resolution spatial mapping workflow, presented at AGBT 2026.

New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...

A recent integrative analysis of single-cell sequencing and single-cell spatial mapping of lymph node metastasis in breast ...