Spatial data processing and query algorithms underpin a critical component of modern geospatial analysis, enabling efficient handling and interrogation of vast and complex datasets. Contemporary ...
Technologies for analyzing proteome, metabolome, transcriptome, and epigenome data at both spatial and single-cell levels have come a long way. Taken together, these methods provide a holistic view of ...
Geopolitics, History, and International Relations, Vol. 15, No. 2 (2023), pp. 39-53 (15 pages) Based on an in-depth survey of the literature, the purpose of the paper is to explore urban modeling and ...
MARLBOROUGH, Mass., Jan. 07, 2024 (GLOBE NEWSWIRE) -- Akoya Biosciences, Inc., (NASDAQ: AKYA), The Spatial Biology Company®, in collaboration with Enable Medicine, a leading provider of AI-powered ...
The global spatial biology market is projected to grow at a compound annual growth rate (CAGR) of approximately 15% over the ...
Townships get little by way of public resources compared with rich suburbs. By mapping the problem, researchers like Raesetje Sefala hope to reverse it. Raesetje Sefala grew up sharing a bedroom with ...
This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...
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