@FloHasee

Professor for Smart Farming at Weihenstephan-Triesdorf University of Applied Sciences | Former PhD Student @ TUM Campus Straubing

 Bayern, Deutschland
Joined September 2021
  • Tweets11
  • Following62
  • Followers19
Florian Haselbeck retweeted
Nature Methods@naturemethods12 Aug 2024
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…
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First publication out with @bit_tumcs!! Read this contribution about a #prediction model (#ProLaTherm) for #thermophilicsproteins. Protein thermostability is instrumental for protein #hybrid #optoelectronics! 👉academic.oup.com/nargab/arti…
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Florian Haselbeck retweeted
Karsten Borgwardt@kmborgwardt29 Jun 2023
A new home for one of our flagship projects: Thanks to great work by @dg_grimm, and great support from #ArminLambacher, @easyGWAS has moved to @MPI_Biochem! easygwas.biochem.mpg.de/ easyGWAS.org is a cloud-based service for #GWAS on public datasets.
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Florian Haselbeck retweeted
Dominik Grimm@dg_grimm4 May 2023
Our #ICLR2023 contribution „Policy-Based Self-Competition for Planning Problems“ #ReinforcementLearning #HSWT #TUMCS @TU_Muenchen openreview.net/forum?id=Smuf…
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Happy to share our newest work easyPheno, developed with Maura John and @dg_grimm at @bit_tumcs. We make state-of-the-art phenotype prediction easy to use while providing a powerful tool for developing new models. Thanks @BioinfoAdv and @Nicky_Mulder. doi.org/10.1093/bioadv/vbad0…

easyPheno: An easy-to-use and easy-to-extend Python framework for phenotype prediction using...

AbstractSummary. Predicting complex traits from genotypic information is a major challenge in various biological domains. With easyPheno, we present a comp

academic.oup.com
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easyPheno: An easy-to-use and easy-to-extend Python framework for phenotype prediction using Bayesian optimization by @FloHasee, Maura John, @dg_grimm in @BioinfoAdv doi.org/10.1093/bioadv/vbad0… edited by @Nicky_Mulder

easyPheno: An easy-to-use and easy-to-extend Python framework for phenotype prediction using...

AbstractSummary. Predicting complex traits from genotypic information is a major challenge in various biological domains. With easyPheno, we present a comp

academic.oup.com
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Florian Haselbeck retweeted
Dominik Grimm@dg_grimm18 Sep 2022
Tomorrow Maura John will present our new work on „Efficient permutation-based genome-wide association studies for normal and skewed phenotypic distributions“ @ECCBinfo awesome collaboration with @arthurkorte @IIMOG @bit_tumcs @TU_Muenchen #TUMCS #HSWT academic.oup.com/bioinformat…

Efficient permutation-based genome-wide association studies for normal and skewed phenotypic...

AbstractMotivation. Genome-wide association studies (GWAS) are an integral tool for studying the architecture of complex genotype and phenotype relationshi

academic.oup.com
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Florian Haselbeck retweeted
Jule Specht@jule_specht11 Jul 2022
Das @BMBF_Bund stoppt zurzeit viele in Aussicht gestellte Forschungsvorhaben. Begründung: "neue Schwerpunktsetzungen hin zu Forschungsaktivitäten, die einen schnellen Impact erzeugen" Welche Folgen das hat, berichten Marianne Braig & Regine Schönenberg: fu-berlin.de/campusleben/for…
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Happy to share our brand-new publication on #MachineLearning for Horticultural Sales Predictions: doi.org/10.1016/j.mlwa.2021.… Thanks to all co-authors: Jennifer Killinger, Klaus Menrad, Thomas Hannus, @dg_grimm Feel free to contact us.
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