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Improving lodgepole pine genomic evaluation using spatial correlation structure and SNP selection with single-step GBLUP
Modeling environmental spatial heterogeneity can improve the efficiency of forest tree genomic evaluation. Furthermore, genoty** costs can be...
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Comparative epigenetic and genetic spatial structure in Mediterranean mountain plants: a multispecies study
Changes in epigenetic states can allow individuals to cope with environmental changes. If such changes are heritable, this may lead to epigenetic...
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Spatial transcriptomics in neuroscience
The brain is one of the most complex living tissue types and is composed of an exceptional diversity of cell types displaying unique functional...
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Spatial distribution pattern of immune cells is associated with patient prognosis in colorectal cancer
BackgroundThe spatial context of tumor-infiltrating immune cells (TIICs) is important in predicting colorectal cancer (CRC) patients’ clinical...
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Metabolic heterogeneity in clear cell renal cell carcinoma revealed by single-cell RNA sequencing and spatial transcriptomics
BackgroundClear cell renal cell carcinoma is a prototypical tumor characterized by metabolic reprogramming, which extends beyond tumor cells to...
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Unsupervised spatially embedded deep representation of spatial transcriptomics
Optimal integration of transcriptomics data and associated spatial information is essential towards fully exploiting spatial transcriptomics to...
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Spatial statistical and environmental correlation analyses on vector density, vector infection index and Japanese encephalitis cases at the village and pigsty levels in Liyi County, Shanxi Province, China
BackgroundIn the eco-epidemiological context of Japanese encephalitis (JE), geo-environmental features influence the spatial spread of the vector ( Cu...
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Decoding the tumor microenvironment with spatial technologies
Visualization of the cellular heterogeneity and spatial architecture of the tumor microenvironment (TME) is becoming increasingly important to...
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Advances in spatial transcriptomics and its applications in cancer research
Malignant tumors have increasing morbidity and high mortality, and their occurrence and development is a complicate process. The development of...
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SST-CRAM: spatial-spectral-temporal based convolutional recurrent neural network with lightweight attention mechanism for EEG emotion recognition
Through emotion recognition with EEG signals, brain responses can be analyzed to monitor and identify individual emotional states. The success of...
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Virtual Reality for Spatial Navigation
Immersive virtual reality (VR) allows its users to experience physical space in a non-physical world. It has developed into a powerful research tool...
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Comparison of new computational methods for spatial modelling of malaria
BackgroundGeostatistical analysis of health data is increasingly used to model spatial variation in malaria prevalence, burden, and other metrics....
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Optimization of 4D Flow MRI Spatial and Temporal Resolution for Examining Complex Hemodynamics in the Carotid Artery Bifurcation
BackgroundThree-dimensional, ECG-gated, time-resolved, three-directional, velocity-encoded phase-contrast MRI (4D flow MRI) has been applied...
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Role of the medial agranular cortex in unilateral spatial neglect
Unilateral spatial neglect (USN) results from impaired attentional networks and can affect various sensory modalities, such as visual and...
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Functional brain networks reflect spatial and temporal autocorrelation
High-throughput experimental methods in neuroscience have led to an explosion of techniques for measuring complex interactions and multi-dimensional...
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BANKSY unifies cell ty** and tissue domain segmentation for scalable spatial omics data analysis
Spatial omics data are clustered to define both cell types and tissue domains. We present Building Aggregates with a Neighborhood Kernel and Spatial...
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Applying correlation analysis to electrode optimization in source domain
In brain computer interface-based neurorehabilitation system, a large number of electrodes may increase the difficulty of signal acquisition and the...
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Spatial biology of cancer evolution
The natural history of cancers can be understood through the lens of evolution given that the driving forces of cancer development are mutation and...
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Spatial transcriptomics and neurofilament light chain reveal changes in lesion patterns in murine autoimmune neuroinflammation
ObjectiveOngoing neuroaxonal damage is a major contributor to disease progression and long-term disability in multiple sclerosis. However,...
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Map** the single cell spatial immune landscapes of the melanoma microenvironment
Melanoma is a highly immunogenic malignancy with an elevated mutational burden, diffuse lymphocytic infiltration, and one of the highest response...
