Spatial alignment of single cell transcriptomic data.
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Updated
Jul 1, 2025 - Jupyter Notebook
Spatial alignment of single cell transcriptomic data.
ST Pipeline contains the tools and scripts needed to process and analyze the raw files generated with the Spatial Transcriptomics method in FASTQ format.
Pipeline for processing spatially-resolved gene counts with spatial coordinates and image data. Designed for 10x Genomics Visium transcriptomics.
Spatial Transcriptomics human DLPFC pilot study part of the spatialLIBD project
Code for the spatialLIBD R/Bioconductor package and shiny app
DeepSpot: Deep learning model for predicting spatial transcriptomics from H&E histopathology images. Supports spot-level (Visium) and single-cell (Xenium) resolution.
spatialDLPFC project involving Visium (n = 30), Visium SPG (n = 4) and snRNA-seq (n = 19) samples
Code companion to the publication "High resolution mapping of the breast cancer tumor microenvironment using integrated single cell, spatial and in situ analysis of FFPE tissue"
Pipeline for SpatialTranscriptomics and 10X Visium data
Image processing pipeline for spatial projects
Spatial Transcriptomics Quantification pipeline for 10x Visium and H&E-stained whole slide images
Ecotypes of Triple-Negative Breast Cancer in Response to Chemotherapy
A Julia package for single cell and spatial data analysis
A curated list of tools, foundation models, datasets and tutorials for spatial transcriptomics and single-cell analysis, ordered the way an analysis goes.
R package using ICA based method for spatial transcriptomics analysis (Visium/Slide-seq/CosMX/MERSCOPE)
Scalable spatial omics in the browser for hundreds of samples at once | 10x, IMC, IF, H&E, CosMX, & more | https://rakaia.io/
AI agent skills for cancer biology and multi-omics research
A Julia package for single cell and spatial data analysis
A Flask web app for joint visualization of multimodal spatial transcriptomics data
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