Results 1 to 10 of about 25,930,960 (264)
Spatial analysis with SPIAT and spaSim to characterize and simulate tissue microenvironments
Spatial proteomics technologies have revealed an underappreciated link between the location of cells in tissue microenvironments and the underlying biology and clinical features, but there is significant lag in the development of downstream analysis ...
Yuzhou Feng +19 more
semanticscholar +1 more source
Single-cell and spatial technologies that profile gene expression across a whole tissue are revolutionizing the resolution of molecular states in clinical samples. Current commercially available technologies provide whole transcriptome single-cell, whole
Amanda Janesick +14 more
semanticscholar +1 more source
Squidpy: a scalable framework for spatial omics analysis
Spatial omics data are advancing the study of tissue organization and cellular communication at an unprecedented scale. Flexible tools are required to store, integrate and visualize the large diversity of spatial omics data.
G. Palla +12 more
semanticscholar +1 more source
The devastating impacts of drought are fast becoming a global concern. Zimbabwe is among the countries more severely affected, where drought impacts have led to water shortages, declining yields, and periods of food insecurity, accompanied by economic ...
Janna Frischen +4 more
semanticscholar +1 more source
Giotto: a toolbox for integrative analysis and visualization of spatial expression data
Spatial transcriptomic and proteomic technologies have provided new opportunities to investigate cells in their native microenvironment. Here we present Giotto, a comprehensive and open-source toolbox for spatial data analysis and visualization.
Ruben Dries +13 more
semanticscholar +1 more source
Airbnb Offer in Spain - Spatial Analysis of the Pattern and Determinants of Its Distribution
The rising number of homes and apartments rented out through Airbnb and similar peer-to-peer accommodation platforms cause concerns about the impact of such activity on the tourism sector and property market.
C. Adamiak +3 more
semanticscholar +1 more source
Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms
Deep learning models, such as convolutional neural networks, utilize multiple specialized layers to encode spatial patterns at different scales. In this study, deep learning models are compared with standard machine learning approaches on the task of ...
D. Gagne +3 more
semanticscholar +1 more source
pavo 2.0: new tools for the spectral and spatial analysis of colour in R
Biological colouration presents a canvas for the study of ecological and evolutionary processes. Enduring interest in colour-based phenotypes has driven, and been driven by, improved techniques for quantifying colour patterns in ever-more relevant ways ...
Rafael Maia +3 more
semanticscholar +1 more source
Geographic Information Systems, spatial analysis, and HIV in Africa: A scoping review
Introduction Geographic Information Systems (GIS) and spatial analysis are emerging tools for global health, but it is unclear to what extent they have been applied to HIV research in Africa.
Danielle C. Boyda +5 more
semanticscholar +1 more source
Advances in spatial transcriptomics and related data analysis strategies
Spatial transcriptomics technologies developed in recent years can provide various information including tissue heterogeneity, which is fundamental in biological and medical research, and have been making significant breakthroughs.
Jun Du +7 more
semanticscholar +1 more source

