
Encarnita Mariotti-Ferrandiz
@mariottienca
Full Professor in Immunology @ Sorbonne Universite; systems immunology; immune repertoire; autoimmune diseases; Biomarkers discovery
ID: 218028225
21-11-2010 06:26:18
335 Tweet
362 Followers
236 Following

The matters arising article in Nature Biotechnology showed that the alleged superiority of UMAP can be entirely attributed to different choices of initialization: Initialization is critical for preserving global data structure in both t-SNE and UMAP nature.com/articles/s4158…


check out our new work on composition of T cell repertoires during thymic selection. led by Giulio Isacchini, with Thierry Mora, Aleks Walczak, Encarnita Mariotti-Ferrandiz and Klatzmann Lab


check out our new work led by Gian Marco Visani on equivariant holographic variational auto-encoder (H-VAE) in Physical Review Research it extracts geometry-aware compressed representations of 3D point clouds, e.g. proteins, used for protein binding prediction &... journals.aps.org/prresearch/abs…




Delighted to share our last work providing approaches for accurate TCR repertoire exploration in small and hard to handle samples. Thanks to Vanessa Mhanna, @PBarennes, and all the #i3lab Sorbonne Université for this dedicated fundamental research work!



After the coffee break, it’s de turn of Encarnita Mariotti-Ferrandiz (Encarnita Mariotti-Ferrandiz), from Sorbonne Université, and her lecture: “Blood T cell receptor repertoire studies: towards biomarker discovery in autoimmune and inflammatory diseases”. Thank you for your talk! #7AMCINBIO



Free online course: MLCB24 - Machine Learning in Computational Biology Fall 2024 from Manolis Kellis Massachusetts Institute of Technology (MIT) youtube.com/playlist?list=… L1: Course Overview, Machine Learning, Deep Learning, Generative AI, and the Unification of Biology Module1:



We are delighted to share our work featuring AnalyzAIRR: A user-friendly guided workflow for AIRR data analysis. #MiAIRR compliant #AIRRforall Vanessa Mhanna biorxiv.org/content/10.110…



Bridging on our #AIRRCVII meeting, we are happy to announce an #AIRRspecialissue ImmunoInformatics: AIRR lovers, submit your results, tools, methods, reviews, thoughts, on machine learning & germinal variation. Thx to my co-guest editors Corey Watson, William Lees & Justin Barton!

