Results 21 to 30 of about 4,523,910 (314)

Spatial reconstruction of single-cell gene expression

Nature Biotechnology, 2015
Spatial localization is a key determinant of cellular fate and behavior, but methods for spatially resolved, transcriptome-wide gene expression profiling across complex tissues are lacking.
R. Satija, J. A. Farrell, D. Gennert, A. Schier, A. Regev   +4 more
semanticscholar   +1 more source

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting

AAAI Conference on Artificial Intelligence, 2019
Forecasting the traffic flows is a critical issue for researchers and practitioners in the field of transportation. However, it is very challenging since the traffic flows usually show high nonlinearities and complex patterns.
S. Guo, Youfang Lin, Ning Feng, Chao Song, Huaiyu Wan   +4 more
semanticscholar   +1 more source

Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST

bioRxiv, 2023
Spatial transcriptomics technologies generate gene expression profiles with spatial context, requiring spatially informed analysis tools for three key tasks, spatial clustering, multisample integration, and cell-type deconvolution.
Yahui Long, Kok Siong Ang, Mengwei Li, Kian Long Kelvin Chong, R. Sethi, C. Zhong, Hang Xu, Zhiwei Ong, K. Sachaphibulkij, Ao Chen, Zeng Li, H. Fu, Min Wu, Hsiu Kim Lina Lim, Longqi Liu, Jinmiao Chen   +15 more
semanticscholar   +1 more source

Spatially Aware Dimension Reduction for Spatial Transcriptomics [PDF]

Nature Communications, 2022
Abstract Spatial transcriptomics are a collection of genomic technologies that have enabled transcriptomic profiling on tissues with spatial localization information. Analyzing spatial transcriptomic data is computationally challenging, as the data collected from various spatial transcriptomic technologies are often noisy and display ...
Lulu Shang, Xiang Zhou
openaire   +3 more sources

Long-term spatial and temporal variability of ambient carbon monoxide in Urmia, Iran [PDF]

Journal of Advances in Environmental Health Research, 2017
One of the pillars of epidemiologic research on the long-term health effects of air pollution is to estimate the chronic exposures over space and time. In this study, we aimed to measure the intra-urban ambient carbon monoxide (CO) concentrations within ...
Hamed Aghdasi, Rahim Aali, Nabiollah Mansouri, Heresh Amini   +3 more
doaj   +1 more source

SPATIAL REPRESENTATION AND SPATIAL INTERACTION

Papers in Regional Science, 1977
1. Spatial representation and spatial interaction: an overview.- 1.1. Introduction.- 1.2. The multi-criteria aggregation problem.- 1.3. The multi-level specification problem.- I: Multi-Criteria Aggregation Problems.- 2. Sequential treatment of the multi-criteria aggregation problem: a case study of zoning system design.- 2.1. Introduction.- 2.2.
Ian Masser, Peter J. B. Brown
openaire   +1 more source

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities [PDF]

Computer Vision and Pattern Recognition
Understanding and reasoning about spatial relationships is a fundamental capability for Visual Question Answering (VQA) and robotics. While Vision Language Models (VLM) have demonstrated remarkable performance in certain VQA benchmarks, they still lack ...
Boyuan Chen, Zhuo Xu, Sean Kirmani, Brian Ichter, Danny Driess, Pete Florence, Dorsa Sadigh, Leonidas J. Guibas, Fei Xia   +8 more
semanticscholar   +1 more source

ON SPATIAL DYNAMICS [PDF]

Journal of Regional Science, 2010
It has long been recognized that the forces that lead to the agglomeration of economic activity and to aggregate growth are similar. Unfortunately, few formal frameworks have been advanced to explore this link. We critically discuss the literature and present a simple framework that can circumvent some of the main obstacles we identify.
Klaus Desmet, Esteban Rossi-Hansberg
openaire   +4 more sources

A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

Remote Sensing, 2020
Remote sensing image change detection (CD) is done to identify desired significant changes between bitemporal images. Given two co-registered images taken at different times, the illumination variations and misregistration errors overwhelm the real ...
Hao Chen, Zhenwei Shi
semanticscholar   +1 more source

Spatial and Semantic Validation of Secondary Food Source Data

ISPRS International Journal of Geo-Information, 2014
Governmental and commercial lists of food retailers are often used to measure food environments and foodscapes for health and nutritional research.
Anders K. Lyseen, Henning Sten Hansen
doaj   +1 more source