Kevin Mulder

[Quentin BLAMPEY @QuentinBlampey]

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

[@realFlorentGinhoux @FGinhoux]

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

[@realFlorentGinhoux @FGinhoux]

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!

[Kevin Mulder @KevinMulder19]

Need help in the analysis of spatial data?
Try Sopa, a technology-invariant pipeline!
@QuentinBlampey, Paul-Henry Cournède and @FGinhoux
https://t.co/bkVidB4Vch

[Quentin BLAMPEY @QuentinBlampey]

Sopa is now published, read the paper and try it out on your own spatial data!👇
https://t.co/mCXxedikAE

[Wan Ting @wanting_kong]

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

[Quentin BLAMPEY @QuentinBlampey]

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

[Kevin Mulder @KevinMulder19]

@AlvaroCrevenna @wamoyal @FGinhoux Sopa does not have built-in a decoding function. It is recommended to use data that is annotated to fully use Sopa

[@realFlorentGinhoux @FGinhoux]

Struggling with spatial-omics data analysis during the holidays break? We have SOPA for you! https://t.co/08Qplb5ykC

[Kevin Mulder @KevinMulder19]

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

[C.A. Dutertre @cadutertre]

Project at a glance 💪💪

[C.A. Dutertre @cadutertre]

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

[@realFlorentGinhoux @FGinhoux]

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

[Kevin Mulder @KevinMulder19]

@sfiimmunologie @cadutertre @FGinhoux @amto94 @wanting_kong @GustaveRoussy @ImmunityCP Thank you very much!

[SFI Immunologie @sfiimmunologie]

📣Best Ph.D. article of the month:
Congrats @KevinMulder19 @cadutertre @FGinhoux @amto94 @wanting_kong @GustaveRoussy: "Cross-tissue single-cell landscape of human monocytes and macrophages in health and disease" @ImmunityCP
Check out 👇
https://t.co/24sNJqMJky

[Cecilepiot @Cecilepiot1]

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 🥳

[Simon Yona @simonyona]

🥇Gold medals all round to @KevinMulder19 @amto94 @wanting_kong @cadutertre @FGinhoux et al., for helping to make sense of the MNP scRNASeq literature https://t.co/zfAwvmYkmW

[Immunity @ImmunityCP]

Online now: Cross-tissue single-cell landscape of human monocytes and macrophages in health and disease https://t.co/x4HI3k3fOB

[C.A. Dutertre @cadutertre]

Very excited to share our single cell RNA universe of monocytes & macrophages across human tissues!
@FGinhoux @cadutertre @KevinMulder19 @amto94 @wanting_kong & co
In @ImmunityCP
#immunology #Macrophage #monocyte #singlecell #cancerimmunology

https://t.co/LRbZWXjYhG