🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Hello from the Haghverdi Lab ! We are a computational group at the MDC-BIMSB and are interested in method development for analysis of high-throughput biological data! Follow us for updates about our lab 🧬💻

Merry Christmas 🎄 ❄️ Essers lab, Haghverdi Lab, Haas Lab, Brigitte Bouman, Yasmin Demerdash and all co-authors

Take a look at a recently published paper in LSA: Single-cell time series analysis reveals the dynamics of HSPCs response to inflammation Haghverdi Lab MDC-BIMSB HI-STEM - Cancer and Stem Cells in Heidelberg life-science-alliance.org/content/7/3/e2…

Our preprint is out! We introduce CCLONE, a method using noisy & sparse SNVs called directly from scRNAseq data to identify cancer populations & somatic events. Congrats to Valérie Marot-L. Sergi Beneyto Calabuig Benedikt Obermayer @larsplus Dieter Beule Laleh Haghverdi! biorxiv.org/content/10.110…

Another week, another preprint! We introduce Compound-SNE, a soft-alignment method for aligning single-cell embeddings across patients and modalities. Congrats to Colin Cess and Laleh Haghverdi ! biorxiv.org/content/10.110…

Linear models makes rough approx to what may be large complex #GRN. Boolean models account for combinatorial complexity but not scalable. scGATE combines #multi_modal info to limit the search space, with better scalability to yield detailed Boolean GRNs doi.org/10.1093/bib/bb…

Join us in welcoming our brilliant new doctoral researchers MDC-BIMSB, who shone bright at the Newbie Symposium today with their engaging talks. We're proud that you're working with us! #PhDLife #Newbies #MDCBerlin

At the beginning of the week, Valérie Marot-L. and Colin Cess presented their new & awesome work at the #ISCO2024 in Barcelona! We were happy to see so many interested people. Thanks to the organizers!

Compound-SNE is out in Bioinformatics: a tSNE-based embedding method for visual alignments of single-cell data in embedding space that is applicable across different samples, data modalities and experimental timepoints. Congrats, Colin Cess & Laleh Haghverdi! academic.oup.com/bioinformatics…

Happy to announce that CCLONE is out on bioinformatics 🥳 Our method identifies cancer cells based on noisy & sparse SNVs called directly from scRNA-seq data. Congrats to Valérie Marot-L. Sergi Beneyto Calabuig Benedikt Obermayer @larsplus Dieter Beule Laleh Haghverdi! doi.org/10.1093/bioinf…

Our second Lab Retreat was full of science, team building and fun with some furry friends :) We are excited about new projects & ideas in the Haghverdi Lab. Stay tuned for upcoming posts and publications!