The field of spatial transcriptomics utilizes technologies that map gene expression data to specific cellular locations within ...
A team of Vanderbilt researchers has released a new benchmarking study that aims to assist scientists in selecting the most ...
This three-part webinar series brings together leading researchers to explore how spatial biology is evolving - from data ...
How the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively. Credit: Professor Kenta ...
A collaborative project has created a comprehensive guide to help standardize spatial transcriptomics practices. Spatial ...
New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from ...
Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located.
Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions.
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