GigaTIME: Multimodal AI generates virtual population for tumor microenvironment modeling (Cell)
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Updated
Jan 29, 2026 - Jupyter Notebook
GigaTIME: Multimodal AI generates virtual population for tumor microenvironment modeling (Cell)
Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).
🎇 Scale interactive spatial omics in the browser to thousands of images | https://rakaia.io/
Spatial Multiomics Profiler for Spatial Characterization of Tissue Microenvironment (https://smprofiler.io)
A Python package for unsupervised analysis of spatial (prote)omics data.
A unifying bioinformatics framework for organelle proteomics
Nextflow version of Sopa - spatial omics pipeline and analysis
Rapid and efficient image preprocessing pipeline for multiplexed spatial proteomics. Code to compare several techniques to denoise Imaging Mass cytometry
GRaph-based Analysis of Subcellular/Spatial Proteomics
Rapid and efficient image preprocessing pipeline for multiplexed spatial proteomics. Code to compare several techniques to denoise Imaging Mass cytometry
A curated collection of papers, codes, and resources for cross-modal translation/prediction/generation between histopathological imaging and omics (genomics, proteomics, etc.), including histopathology-to-mIF image generation, histopathology-to-genomic prediction, etc.
Custom software written for analysis of spatial proteomics data from fetal lung acquired in the HDCA project.
Rapid and efficient image preprocessing pipeline for multiplexed spatial proteomics. Code to compare several techniques to denoise Imaging Mass cytometry
Distinct mesenchymal cell states mediate prostate cancer progression
Assessing sub-cellular resolution in spatial proteomics experiments
Analysis code for the paper "Using Adjusted Local Assortativity with Molecular Pixelation unveils colocalization of membrane proteins with immunological significance"
Traitement statistique de données omiques
Spatial Omics Living review
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