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!
https://t.co/4r2kEWhYFU
https://t.co/q8NChl5Jau
For macrophage lovers! In all different shapes and forms! https://t.co/ZFt8pGMFyJ
Protecting you in head and neck squamous cell carcinoma!
https://t.co/x30OpvB2AY
Just before the summer break! Very proud and excited to share our latest work on tumor macrophage ontogeny ! Spatial temporal regulation of TAM development revealed using time stamping approaches! Ms4a3 Creert2 is a gem! https://t.co/PN163cyNmI, congratulations to the team!
Need help in the analysis of spatial data?
Try Sopa, a technology-invariant pipeline!
@QuentinBlampey, Paul-Henry Cournède and @FGinhoux
https://t.co/bkVidB4Vch
Proud of you @KevinMulder19 !!
Who is Kevin Mulder, COST Action #MyeInfoBank's first poster award winner at the Budva meeting? Find out more about him, his academic journey, and his role in a Sopa opera:
https://t.co/qPxpWhCgQg
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 🚀
https://t.co/e9XA7vHvY4
Along with Quentin Blampey, Paul-Henry Cournède and @FGinhoux
We are excited to share SOPA!
A technology-invariant pipeline for analyses of image-based spatial-omics. Compatible with @10xGenomics, @vizgen_inc, @miltenyibiotec, @AkoyaBio and more!
https://t.co/Y3DWyr3qnE
2 years post-doc position available in our laboratory to explore dendritic cells in human carcinomas. More details in the link below.
Spread the word! https://t.co/poPclsSKq1
Very proud of this study, highlighting the complexity of myeloid cell lineages and states during brain development and neurodegeneration, showcasing also the importance of fate mapping to validate single cell data! Bravo to Aymeric Silvin! https://t.co/9sD9Nm3uB8
Very very nice work from @cadutertre@FGinhoux@KevinMulder19@amto94@wanting_kong and co!!!👏👏👏 Pushing the boundaries of scRNAseq analysis by integrating 41 datasets 😱 to resolve and unify monocyte & macrophage populations across human tissues. Very exciting 🥳