Spatial transcriptomics analysis of 10x Genomics Visium and Xenium data using Scanpy and Squidpy. This repository contains four fully documented analysis notebooks, each following the corresponding ...
Cancer Res (2026) 86 (7_Supplement): 795. Hepatocellular carcinoma (HCC) is a heterogeneous malignancy, requiring spatially resolved multi-omic approaches to advance ...
Introduction: Diabetes mellitus (DM) is associated with elevated inflammation and poorer outcomes after ischemic stroke. During the sub-acute phase of stroke, glial and fibrotic scars began to form ...
Spatial transcriptomics (ST) technologies reveal the spatial organization of gene expression in tissues, providing critical insights into development, neurobiology, and cancer. However, the high cost ...
A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...
A classifier to assess section integrity. (A) Generation of the transcript mask. The transcript density image was converted to a binary mask using a random forest classifier. (B) Generation of the ...
We combine advanced technologies such as spatial transcriptomics, multiplexed imaging, and in situ sequencing to map cellular components in their native tissue context. Obtain high-resolution data ...
We have an in-house developed visualisation platform that can import multiple spatial biology ROIs/slides for spatial transcriptomics assays such as 10x Visium and Xenium. The current spatialdata ...
The liver is remarkable for its ability to regenerate after injury, yet when this process fails, acute liver failure (ALF) carries devastating outcomes. Traditional research methods, reliant on bulk ...
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