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A new computational approach successfully combines data from parallel gene-expression profiling methods to create spatial maps of a given tissue at single-cell resolution. The resulting maps can ...
We introduce an extension of R-vine copula models to allow for spatial dependencies and model based prediction at unobserved locations. The proposed spatial R-vine model combines the flexibility of ...
AZoLifeSciences on MSN
spVelo: A New Method for Integrating Spatial and Temporal Data in RNA Velocity Analysis
Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...
Many companies collect an enormous amount of geospatial and time data, but they’re unable to unlock enormous value from that information due to a lack of an easy-to-use, dedicated geospatial database ...
Darren Ruddell does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...
This study explores the spatial extent of daily mobility by analysing the activity spaces of suburban commuters. It deepens knowledge of the transport-related consequences of functionally segregated ...
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