Nicolas Captier

Cell-type deconvolution methods for spatial transcriptomics - Nature Reviews Genetics Cell-type deconvolution methods are often needed to analyse spatial transcriptomic data to recover cell-type distributions. In this Review, the authors describe the process of cell-type deconvolution,...

🚨Thrilled to finally see our review "Cell-type deconvolution methods for spatial transcriptomics" published in @NatureRevGenet
@SpringerNature

nature.com/articles/s41... (read free: rdcu.be/el0Ka).

Check out our web-tool: cavallilab-curie.shinyapps.io/Review-Deconvo

19.05.2025 07:51 — 👍 3    🔁 1    💬 1    📌 0

Integration of clinical, pathological, radiological, and transcriptomic data improves prediction for first-line immunotherapy outcome in metastatic non-small cell lung cancer - Nature Communications Overall survival in metastatic non-small cell lung cancer is improved by immunotherapy but individual responses widely vary, and predictive biomarkers are urgently needed. Here authors show that multi...

In a recent study published in @naturecomms.bsky.social, researchers from @institutcurie.bsky.social Inserm, and @minesparis-psl.bsky.social developed an #AI model integrating multiple data types to improve the prediction of response to immunotherapy in #lungcancer.

www.nature.com/articles/s41...

04.02.2025 15:31 — 👍 5    🔁 1    💬 1    📌 0

From CFTR to a CF signalling network: a systems biology approach to study Cystic Fibrosis - BMC Genomics Background Cystic Fibrosis (CF) is a monogenic disease caused by mutations in the gene coding the Cystic Fibrosis Transmembrane Regulator (CFTR) protein, but its overall physio-pathology cannot be sol...

Excited to share the final work from my PhD: our study on developing a signalling network gathering the molecular dysregulations caused by the absence of CFTR in cystic fibrosis (CF).
Read the full article published in the journal BMC Genomics at: doi.org/10.1186/s128... 1/5

20.12.2024 15:30 — 👍 1    🔁 2    💬 1    📌 0

Integration of clinical, pathological, radiological, and transcriptomic data improves prediction for first-line immunotherapy outcome in metastatic non-small cell lung cancer This repository contains the radiomic, pathomic, and transcriptomic features used in: "Integration of clinical, pathological, radiological, and transcriptomic data improves prediction for first-line i...

Our latest #research on multimodal prediction of #immunotherapy outcome in #lungcancer is now published in @natureportfolio.bsky.social !

It comes with publicly available data to reproduce and extend our experiments: doi.org/10.5281/zeno...

@institutcurie.bsky.social, @fondationarc.bsky.social

14.01.2025 17:16 — 👍 3    🔁 1    💬 0    📌 0

📣 Registration is now open for the next radiomics course at @institutcurie.bsky.social! Join us for a 3-day training that combines theory and hands-on practice with LIFEx. Limited to 20 on-site participants, so register early!

👉 training.institut-curie.org/courses/radiomics-theory-and-practice

09.01.2025 09:32 — 👍 1    🔁 1    💬 0    📌 0

Integration of clinical, pathological, radiological, and transcriptomic data improves prediction for first-line immunotherapy outcome in metastatic non-small cell lung cancer Nature Communications - Overall survival in metastatic non-small cell lung cancer is improved by immunotherapy but individual responses widely vary, and predictive biomarkers are urgently needed....

Excited to share our latest #research from @institutcurie.bsky.social on multimodal prediction of #immunotherapy outcome in #lungcancer, published with @springernature.bsky.social in @naturecomms.bsky.social

rdcu.be/d56Fn

@fondationarc.bsky.social & [PRAIRIE Institute](prairie-institute.fr)

13.01.2025 17:12 — 👍 8    🔁 6    💬 0    📌 1