Quentin BLAMPEY

@QuentinBlampey

Paris

Joined October 2023

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Quentin BLAMPEY@QuentinBlampey · Jan 4, 2024

Struggling with spatial omics analysis? Try Sopa, our new technology-invariant Python library for all image-based spatial-omics! Based on @scverse_team data structures, and built with @KevinMulder19 and @FGinhoux 🚀 github.com/gustaveroussy/…

QuentinBlampey's tweet card. Technology-invariant pipeline for spatial omics analysis that scales to millions of cells (Xenium / Visium HD / MERSCOPE / CosMx / PhenoCycler / MACSima / etc) - gustaveroussy/sopa

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Quentin BLAMPEY@QuentinBlampey · Sep 16

Happy to share Novae, our new foundation model for spatial transcriptomics data 💫 Load a pre-trained model and start using Novae in two lines of code! biorxiv.org/content/10.110… github.com/MICS-Lab/novae

QuentinBlampey's tweet card. Graph-based foundation model for spatial transcriptomics data. Zero-shot spatial domain inference, batch-effect correction, and many other features. - MICS-Lab/novae

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Quentin BLAMPEY@QuentinBlampey · Jun 12, 2024

Sopa is now published, read the paper and try it out on your own spatial data!👇 nature.com/articles/s4146…

QuentinBlampey's tweet card. Nature Communications - The complexity of spatial omics data presents analytical challenges and demands substantial computing resources. Here, the authors introduce Sopa, a technology-invariant,...

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