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 ...
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 ...
Three-dimensional transcriptomics data from an instrument launched at the Advances in Genome Biology and Technology conference. The translucent shapes represent cells, and each dot within a cell ...
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.
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 ...
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 ...
Takara Bio USA collaborates with Illumina on a single-cell-resolution spatial mapping workflow, presented at AGBT 2026.
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 ...
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 ...
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Study reveals cellular and metabolic landscape of lymph node metastasis in breast cancer
A recent integrative analysis of single-cell sequencing and single-cell spatial mapping of lymph node metastasis in breast ...
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 ...
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