🔥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

Check out our new #DrugstOne plug-in for online exploration of molecular networks and join our initiative: drugst.one/call/. Developing web frontends for systems medicine tools has never been easier!

I am happy to announce that I am seeking for a #postdoctoral bioinformatician or computer scientist for a full, #permanent_position as a research fellow in my lab! Co-maintain popular #opensource projects like #Bioconda, #Snakemake, and #Varlociraptor! koesterlab.github.io/#research-fell…

Fascinating keynote by Jingyi Jessica Li in her Overton prize lecture. Showing us that DE analysis after #clustering deserves some additional attention. #ISMBECCB2023

Congratulations to my wonderful PhD student Mitali Katoch for publishing today her first shared first-author paper in Acta Neuropathol Commun. 🥳💪🏻👏 #neuropath 🔬🧠 International League Against Epilepsy yesILAE actaneurocomms.biomedcentral.com/articles/10.11…

Just a few more days until the deadline! ⌨️ How reproducible is #CVPR2025? Let's find out together at #FAUhack on Dec. 8th-11th 2023 at FAU Erlangen-Nbg in Erlangen, Germany with Andreas Kist and Bernhard Egger Register until October 31st! reproducecvpr.tf.fau.eu

Ready to celebrate the next generation of scientists? Check out the €100k Early Career category of the #EinsteinFoundationAward2023 w/ @questbih! Get to know the brilliant finalists online on Nov 9 and find out who wins on Nov 14! Max Planck Society (1/2)

Large-scale disease association databases are used in data-centric precision medicine but biased towards organ- & symptom-based disease definitions. David B. Blumenthal FAU Erlangen-Nbg aims to develop network-based approaches to disentangle data into new subsets, thereby improving predictions.

It's basically already old news but since Friday, DataSAIL is out as a preprint on bioRxiv. Now, you can split all your #biological #data for #ML without caring about Information or Data Leakage. A summary in on the card below. Check it out: doi.org/10.1101/2023.1…

🧬Get ready for our #federated singular value decomposition (#SVD) algorithm, suitable for the #privacy and computational requirements of genome-wide association studies (#GWAS). A corresponding App is available in #FeatureCloud's #AppStoreHealthcare! 🧪 link.springer.com/article/10.100…

We are looking for a computational postdoc interested in cancer epigenomics to work with us in at the IEO in Milan. Find more details on this and other positions here: schaeferlab.com/misc/join/. Please share

So happy to announce that my paper with @itisalist and David B. Blumenthal "Cracking the black box of deep sequence-based protein–protein interaction prediction" is finally published at Briefings in Bioinformatics doi.org/10.1093/bib/bb… ! So what is it about? 1/13 🧵

Join our new Quantum Bioinformatics team at Cosy.Bio (cosy.bio) in lovely Hamburg, Germany! We seek an Algorithm Engineer to experiment with the power of quantum computing for combinatorial optimization problem solving in Systems Medicine.

A Perspective from @itisalist Judith Bernett Roman Joeres ok Florian Haselbeck Dominik Grimm @bit_tumcs & David B. Blumenthal discusses the issue of data leakage in machine learning models and presents 7 questions to identify and avoid problems as a result. nature.com/articles/s4159…

Very proud to present our latest work: 7 guiding questions to avoid data leakage in biological machine learning applications ✨🔍 We hope that reflecting on these questions helps researchers to identify issues or shortcuts leading to overly optimistic performance estimates. 📈🧑‍🔬

In our latest Nature Methods perspective we provide 7 questions on how to detect data leakage in biological #MachineLearning applications. Judith Bernett David B. Blumenthal @bit_tumcs Florian Haselbeck Roman Joeres @itisalist TU München #TUMCS #HSWT rdcu.be/dQuw1

Work with us and help us developing more reliable and bias-reduced protein-protein interaction networks in a great collaboration between Milan, Munich, and Erlangen

Interested in developing scalable data structures for biological data? Then apply for a position in the lab of our collaboration partner Johann Gamper in beautiful Bolzano. Deadline: Oct 30, noon. Details: dyhealthnet.ai/team/

DataSAIL is out in Nature Communications Since the preprint, we have improved the work a lot, thanks to countless reviewers and feedback. You can find it here: nature.com/articles/s4146… Thanks, David B. Blumenthal and ok, for helping and supervising me on this journey.

Curious how we can make machine learning predictions on biological data truly reliable, even when faced with unseen and dissimilar real-world scenarios?Nature Communications FAU Erlangen-Nbg "Data splitting to avoid information leakage with DataSAIL" 1. In bioinformatics, traditional random