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 ...
(IEEE Transactions on Geoscience and Remote Sensing) RSMamba: Biologically Plausible Retinex-Based Mamba for Remote Sensing Shadow Removal [paper] (2025.01.08) (IEEE Internet of Things Journal) ...
Previous studies have demonstrated widespread brain neurodegeneration in Alzheimer’s disease (AD). However, the neurobiological and pathogenic substrates underlying this structural atrophy across the ...
aDepartment of Immunology, Genetics and Pathology, Uppsala University, Rudbeck Laboratory, 751 85 Uppsala, Sweden bDepartment of Oncology-Pathology, Cancer Center Karolinska, Karolinska Institutet, ...
Department of Bioengineering, University of Illinois at Urbana−Champaign, 1102 Everitt Lab, 1406 W. Green Street, Urbana, Illinois 61801, United States Biomedical Research Center, Mills Breast Cancer ...
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 ...
Both healthy aging and Alzheimer’s disease (AD) are characterized by concurrent alterations in several biological factors. However, generative brain models of aging and AD are limited in incorporating ...
The spatiotemporal proteome of the intervertebral disc (IVD) underpins its integrity and function. We present DIPPER, a deep and comprehensive IVD proteomic resource comprising 94 genome-wide profiles ...
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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