Characterizing spatial variations in gene expression with cell type specificity is crucial for understanding complex traits and diseases, yet it remains challenging. Here, we introduce the Mixture of ...
1Computational Biology and Bioinformatics Program, Yale University, New Haven, Connecticut. 6Department of Computer Science, Yale University, New Haven, Connecticut. 12Department of Internal Medicine, ...
bInstitute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Centre Jülich, Jülich, Germany cInstitute of Neuroscience and Medicine: JARA-Institute Brain Structure Function ...
Previous studies have demonstrated widespread brain neurodegeneration in Alzheimer’s disease (AD). However, the neurobiological and pathogenic substrates underlying this structural atrophy across the ...
Recent advances in various single-cell RNA sequencing (scRNA-seq) technologies have enabled profiling the gene expression level with the whole transcriptome at a single-cell resolution. However, it ...
Convolutional neural networks (CNN) have been successfully used to handle three-dimensional data and are a natural match for data with spatial structure such as 3D molecular structures. However, a ...
Image-based approaches to single-cell transcriptomics offer the ability to quantify not only the copy number of RNAs within cells but also the intracellular RNA location and the spatial organization ...
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