
Professor for Biomedical Network Science at Friedrich-Alexander University Erlangen-Nürnberg. [email protected], [email protected]
Erlangen, Deutschland
Joined November 2020
- Tweets82
- Following182
- Followers159
- Likes84
David B. Blumenthal retweeted
DataSAIL is out in @NatureComms
Since the preprint, we have improved the work a lot, thanks to countless reviewers and feedback.
You can find it here: nature.com/articles/s41467-0…
Thanks, @dbblumenthal and @ok55991, for helping and supervising me on this journey.
David B. Blumenthal retweeted
In our latest @naturemethods perspective we provide 7 questions on how to detect data leakage in biological #MachineLearning applications. @judith_bernett @dbblumenthal @bit_tumcs @FloHasee @RomanJoeres @itisalist @TU_Muenchen #TUMCS #HSWT rdcu.be/dQuw1
David B. Blumenthal retweeted
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. 📈🧑🔬
Replying to @naturemethods
A Perspective from @itisalist @judith_bernett @RomanJoeres @ok55991 @FloHasee @dg_grimm @bit_tumcs & @dbblumenthal 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/s41592-0…
David B. Blumenthal retweeted
A Perspective from @itisalist @judith_bernett @RomanJoeres @ok55991 @FloHasee @dg_grimm @bit_tumcs & @dbblumenthal 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/s41592-0…
David B. Blumenthal retweeted
So happy to announce that my paper with @itisalist and @dbblumenthal "Cracking the black box of deep sequence-based protein–protein interaction prediction" is finally published at Briefings in Bioinformatics doi.org/10.1093/bib/bbae076 ! So what is it about? 1/13 🧵
David B. Blumenthal retweeted
We are looking for a computational postdoc interested in cancer epigenomics to work with us in at the @IEOufficiale in Milan. Find more details on this and other positions here: schaeferlab.com/misc/join/. Please share
David B. Blumenthal retweeted
🧬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…
David B. Blumenthal retweeted
It's basically already old news but since Friday, DataSAIL is out as a preprint on @biorxivpreprint.
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/10.1101/2023.11.15.5…
David B. Blumenthal retweeted
Large-scale disease association databases are used in data-centric precision medicine but biased towards organ- & symptom-based disease definitions. @dbblumenthal @UniFAU aims to develop network-based approaches to disentangle data into new subsets, thereby improving predictions.
David B. Blumenthal retweeted
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! @maxplanckpress (1/2)
David B. Blumenthal retweeted
Just a few more days until the deadline! ⌨️
How reproducible is @CVPR?
Let's find out together at #FAUhack on Dec. 8th-11th 2023 at @UniFAU
in Erlangen, Germany
with @anki_xyz and @VisionBernie
Register until October 31st!
reproducecvpr.tf.fau.eu/
David B. Blumenthal retweeted
Congratulations to my wonderful PhD student @KatochMitali for publishing today her first shared first-author paper in Acta Neuropathol Commun. 🥳💪🏻👏 #neuropath 🔬🧠 @IlaeWeb @yesILAE actaneurocomms.biomedcentral…
David B. Blumenthal retweeted
Fascinating keynote by Jingyi Jessica Li in her Overton prize lecture. Showing us that DE analysis after #clustering deserves some additional attention. #ISMBECCB2023
David B. Blumenthal retweeted
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/#resear…
David B. Blumenthal retweeted
Replying to @aibe_fau
@aibe_fau we have another job opening - if you know anyone who might be interested, please forward this info:
jobs.fau.de/jobs/wissenschaf…
David B. Blumenthal retweeted
Freie #Befristung, fester Prozentsatz
Das #WissZeitVG ist zurück in der "Montagehalle". Doch auch der zweite Anlauf muss in einem unbefriedigenden Kompromiss enden. Es sei denn, Bund & Länder wagen den Paradigmenwechsel. Gastbeitrag von Tobias Rosefeldt.
jmwiarda.de/2023/03/21/freie…
David B. Blumenthal retweeted
Replying to @aibe_fau
@aibe_fau we want to expand our support staff. PM if you want to know more: jobs.fau.de/jobs/eine-stelle… (apply until 22.02.2023)
jobs.fau.de/jobs/fachinforma… (apply until 15.02.23)
jobs.fau.de/jobs/it-fachkraf… (apply until 15.02.23)
David B. Blumenthal retweeted
Happy and excited to finally share this project!
We show conclusively that high accuracies of deep learning-based PPI prediction models are exclusively due to data leakage via sequence similarities and node degree information.
biorxiv.org/content/10.1101/… @itisalist @dbblumenthal
David B. Blumenthal retweeted
We are looking for an IT specialist for our department! Feel free to contact us and share the world :-) @UniFAU @aibe_fau #ITJobs #Fachinformatik
jobs.fau.de/jobs/fachinforma…
























