A new spatial transcriptomic technology captures RNA patterns without requiring expensive imaging ...
The study, published today in Cancer Cell, generated spatial transcriptomic maps in precancerous and more advanced stages of lung cancer to provide a deeper understanding of early lung cancer ...
Large Language Models in Population Oncology: A Contemporary Review on the Use of Large Language Models to Support Data Collection, Aggregation, and Analysis in Cancer Care and Research Cancer remains ...
Alliance A092104: A randomized phase 2/3 study of olaparib plus temozolomide versus investigator’s choice for the treatment of patients with advanced uterine leiomyosarcoma after progression on prior ...
Conventional transcriptomic techniques have revealed much about gene expression at the population and single-cell level—but they overlook one crucial factor: spatial context. In musculoskeletal ...
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 ...
Spatial transcriptomics is a technique that provides information about gene expression patterns within intact tissues. This technology employs various methodologies, including in situ sequencing (ISS) ...
This eBook cuts through the complexity of spatial techniques, featuring a series of inteveiws with pioneers in the field, and peer-reviewed research from the Taylor & Francis journal portfolio. This ...