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Scientists have discovered, for the first time, how root cells respond to their complex soil environment, revealing that ...
Trained on data covering 1.5 billion years of evolution, CZI’s new generative AI model probes cellular biology across species ...
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To understand what drives disease progression in tissues, scientists need more than just a snapshot of cells in ...
This longitudinal single-cell transcriptome atlas examines global changes amongst murine mammary gland fibroblasts during normal development and oncogenesis across seven different states, revealing a ...
"Spatial transcriptomics provides an unprecedented ability to map gene expression directly within intact and damaged spinal cord tissue, revealing how distinct cell populations and molecular ...
Although single-cell and spatial transcriptomics have offered significant insights into cellular diversity, these techniques do not effectively capture the dynamic behavior of proteins, which are the ...
However, several limitations include: (1) Most existing methods are originally designed for spatial transcriptomics data and thus use ... input cannot directly establish the relationship between cell ...
Abstract: Benefiting from long-term time series and large spatial coverage, Sentinel-2 has been widely used in urban tree cover retrieval. However, mixed pixel effects in Sentinel-2 imagery make it ...
1Fralin Biomedical Research Institute, Virginia Tech FBRI Cancer Research Center, Washington, District of Columbia. 2Department of Biomedical Sciences and Pathobiology, College of Veterinary Medicine, ...
Their work is pioneering spatial transcriptomics using digital spatial ... The data reveal far more than cell types, however. Spatial analysis is no longer just proximity, he asserts.