Laura Cantini
@cantinilab
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PI of the machine learning for Integrative genomics lab @institutPasteur and @CNRS @ERC_Research #multiomics #singlecell #machinelearning [email protected]
Joined September 2016
I am incredibly grateful and excited to have been selected for an @ERC_Research Starting Grant to model the evolution of a cell through multi-omics integration. Many thanks to my team, mentors and everyone who helped along the way. Let's get started! #EUfunded #ERCStG
🎉 The latest ERC Starting Grant competition results are out! 400 bright minds have been awarded over €628 million to fund ideas at the frontiers of science & scholarship. Find out who, where and why 👉 https://t.co/87lIvocJwj 🇪🇺 #EUfunded #FrontierResearch #ERCStG @HorizonEU
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By learning a differentiation potential using an optimal transport-based approach, STORIES models and infers cell fate trajectories using spatiotemporal omics data. @gjhuizing @JulesSamaran @gabrielpeyre @cantinilab
https://t.co/dG7HBQ09j8
nature.com
Nature Methods - By learning a differentiation potential using an optimal transport-based approach, STORIES models and infers cell fate trajectories using spatiotemporal omics data.
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Happy to share STORIES out now on Nature Methods STORIES learns cell fate landscapes from spatial tramscripromics data profiled at several time points, thus allowing prediction of future cell states. Led by @gjhuizing and @JulesSamaran
https://t.co/ndn4LZcE0C
@institutpasteur
nature.com
Nature Methods - By learning a differentiation potential using an optimal transport-based approach, STORIES models and infers cell fate trajectories using spatiotemporal omics data.
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#ResultatScientifique🔎 | scPRINT : le premier modèle d'IA français pour déchiffrer les réseaux génétiques 🤝 @CNRS @CNRS_Meudon ✍️ @cantinilab & @gabrielpeyre 📕 @NatureComms | https://t.co/CbuFERIjXf
https://t.co/EEy2HlZoGN
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.@jkobject @julessamaran @cantinilab @gabrielpeyre present a foundation model trained on 50 million cells, generating a meaningful gene network with zero-shot ability. #BiotechNatureComms @NatureComms
https://t.co/q5aaOVqgYW
nature.com
Nature Communications - Authors present a state-of-the-art cell foundation model trained on 50 million cells. They show that the model generates a meaningful gene network and has zero-shot...
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🚀 Our perspective is out in @Nature! We present a roadmap for Multimodal Foundation Models (MFMs) — large AI models pretrained across multi-omics and multi-timepoint data — to serve as the computational backbone for building virtual cells. Read the full paper in Nature:
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Excited to see scPRINT published in @NatureComms ! scPRINT is a large cell model for the inference of gene networks pre-trained on 50Mcells with innovative pretraining tasks inspired from biology. Work led by @jkobject
I am super happy to annonce that after 9 months under review the first paper of my PhD: scPRINT is finally available on Nature Comms! 🎉🧬 https://t.co/xAMMsbSYZ7
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🇫🇷Depuis 2007, @FondationLOreal s'engage avec l'@UNESCO et @AcadSciences pour accélérer les carrières des jeunes chercheuses. Les candidatures pour le Prix Jeunes Talents France 2025 L'Oréal-UNESCO sont ouvertes. Candidatez avant le 26 février 👉 https://t.co/AWJd4qnWwD
#FWIS2025
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🚨 Job alert 🚨 1 PhD + 1 Technician Our lab is looking for motivated candidates interested in understanding the impact of diets and lifestyle on tumor development, anti-tumor immunity and metastasis! Apply and join our team! Info below 👇 .. please RT 🙏
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🎄🎁 Christmas preprint alert! 🎁🎄 We present a novel approach to integrating patient-specific gene regulatory network models (GRNs) with multi-omics data to enhance cancer survival predictions 🧬📊 👉 Read it on BioRxiv: https://t.co/KclMJx73PL 🧵 Highlights below!
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@cantinilab, chercheuse au @CNRS et à l’Institut Pasteur, récompensée par la médaille de bronze du CNRS 2024. Entre mathématiques et biologie pour apporter des outils d’aide à la compréhension du développement des organismes et des maladies humaines. 👉 https://t.co/Kqps32lWgU
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New from our lab (from @tobiasbernecker and Ghalia Rehawi): ARROW-Diff (AutoRegressive RandOm Walk Diffusion), a fresh approach for efficient graph generation. Looking forward to apply it to gene regulatory networks and biomolecule design. Check it out:
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Welcome to two new lab members @clement_wh (cosupervision @lucapinello )and Anna Audit (cosupervision @gabrielpeyre )! Recruited on @ERC_Research project MULTI-viewCELL. They will work on GRN inference and cell trajectory inference from temporal single-cell RNA data, respectively
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We' re #hiring a #postdoc in my team @institutpasteur @CNRS funded by @InstitutPrairie to work on the inference of molecular mechanisms from the integration of spatial transcriptomics and #singlecell multi-omics data. Learn more at
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Happy to share with you "Integrative spatial and genomic analysis of tumor heterogeneity with Tumoroscope", with @ShadiShafighi, @ewa_szczurek, and ..... https://t.co/3m1lr5992H Great work Shadi!
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🚨Preprint alert! https://t.co/VF3WRkr5ye Did you ever dream of generating spatial maps of #enhancer activity at #singlecell resolution in a multicellular organism using massively parallel enhancer-reporter assays? Then spatial-scERA is the method for you!
biorxiv.org
Enhancers play an essential role in developmental processes by orchestrating the spatial and temporal regulation of gene expression. However, mapping the location of these regulatory elements in the...
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Do you want to work at the interface of structural biology and #AI? We are #hiring Come to Paris for a @CNRS postdoc at @institutpasteur funded by @ERC_Research and co-supervised by @malletvincent Please RT!! #deeplearning #compbio More info here: https://t.co/7oq9GgJjIk
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#TalentsCNRS🥉 | Laura Cantini : une médaille de bronze à l’interface entre mathématiques et biologie. Son objectif ? Apporter des outils d’aide à la compréhension du développement des organismes et des maladies humaines. ▶️ https://t.co/0g1bf2IvVD
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Don't miss poster P296 today at @ECCBinfo if you want ro know more about unpaired multi-modal data integration from @JulesSamaran !!!!
After a very constructive back and forth with editors and reviewers of @NatureComms, scConfluence has now been published @LauCan88 @gabrielpeyre ! I'll present it this afternoon at the poster session of @ECCBinfo (P296) Published version:
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After a very constructive back and forth with editors and reviewers of @NatureComms, scConfluence has now been published @LauCan88 @gabrielpeyre ! I'll present it this afternoon at the poster session of @ECCBinfo (P296) Published version:
nature.com
Nature Communications - The abundance of unpaired multimodal single-cell data drives the need for improved integration methods. Here, authors introduce scConfluence, a method combining uncoupled...
🥳 I’m very happy to announce our preprint https://t.co/ufEtJiqvbK ! scConfluence combines uncoupled autoencoders with Inverse Optimal Transport to integrate unpaired multimodal single-cell data in shared low dimensional latent space. @LauCan88 @gabrielpeyre
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