David B. Blumenthal

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David B. Blumenthal

David B. Blumenthal

@dbblumenthal

Professor for Biomedical Network Science at Friedrich-Alexander University Erlangen-Nürnberg. [email protected], [email protected]

Erlangen, Deutschland Katılım Kasım 2020
183 Takip Edilen166 Takipçiler
David B. Blumenthal
David B. Blumenthal@dbblumenthal·
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/
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David B. Blumenthal
David B. Blumenthal@dbblumenthal·
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
Martin Schaefer@MartinHSchaefer

🚨 Postdoc or PhD opportunity! 🕸️ Protein-protein interaction networks face challenges like high error rates and biased degree of certain proteins. Help us improve their quality and develop computational methods to better interpret them! More info: schaeferlab.org/misc/join/"

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Judith Bernett
Judith Bernett@judith_bernett·
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. 📈🧑‍🔬
Nature Methods@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/s4159…

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CoSy.Bio
CoSy.Bio@cosybio_UHH·
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.
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Judith Bernett
Judith Bernett@judith_bernett·
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/bb… ! So what is it about? 1/13 🧵
Judith Bernett tweet media
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Martin Schaefer
Martin Schaefer@MartinHSchaefer·
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
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Einstein Foundation
Einstein Foundation@Einstein_Berlin·
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.
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David B. Blumenthal
David B. Blumenthal@dbblumenthal·
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!
CoSy.Bio@cosybio_UHH

#DrugstOne: Turn your #Bioinformatics tool into a powerful, interactive #DrugRrepurposing 💊 webtool in <15mins with 3 lines of code. Check out drugst.one/call/ and join our initiative and publication (arxiv.org/abs/2305.15453). @janbaumbach @MichiHartung @MajoreAndi

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David B. Blumenthal
David B. Blumenthal@dbblumenthal·
Beyond these results, our study showcases how very basic network science techniques can be used to generate historical insights. 5/5
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David B. Blumenthal
David B. Blumenthal@dbblumenthal·
(2) Can we characterize senders/addressees of (un)successful letters? Answers to both questions is yes. In particular, letters tended be more successful if sent by active recommenders and and addressing less sought after receivers. Full story in the paper. 4/5
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Keşfet

@NatureComms @ok55991 @naturemethods @judith_bernett @FloHasee @RomanJoeres @TU_Muenchen @dg_grimm