Dec 1, 2023 · In this study, we propose a deep learning-based, plug-and-play method for enhancing spot resolution to obtain higher-resolution SRT data.
Superresolved spatial transcriptomics transferred from a histological context. https://doi.org/10.1007/s10489-023-05190-3. Journal: Applied Intelligence, 2023 ...
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What is the spatial transcriptomics process?
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Mar 2, 2024 · Our method can produce gene expression data for each pixel in histology images, achieving a resolution higher than that of single-cell ...
Statistical and machine learning methods for spatially resolved ...
pmc.ncbi.nlm.nih.gov › PMC8273359
In this review, we will focus on the statistical and machine learning aspects for SRT data analysis and discuss how spatial location and histology information ...
Nov 29, 2021 · From a broader perspective, our work suggests that histology is a vastly underutilized resource in spatial transcriptomics. Histology images ...
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Aug 4, 2024 · In situ RNA capturing has made it possible to record histology and spatial gene expression from the same tissue section.
Apr 1, 2022 · Recent advances in spatially resolved transcriptomics have enabled comprehensive measurements of gene expression patterns while retaining ...
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From early-stage discovery to clinical research, spatial transcriptomics can unravel novel insights and accelerate biomarker discovery within the histological ...
Aug 22, 2024 · Key principles of ST include spatial resolution, which maintains spatial information about where gene expression occurs within the tissue, ...
Aug 23, 2024 · Spatially resolved transcriptomics has revolutionized RNA studies by aligning RNA abundance with tissue structure, enabling direct ...