Accès ouvert
2026
preprint
OpenAlex
Fumiya Moribe, Murat Iskar, Sevi Durdu, Christiane Wirbelauer et autres
Abstract CpG islands (CGIs) constitute the dominant class of promoters in vertebrate genomes, yet the mechanisms underlying their transcription initiation remain unclear. Using deep learning and acute perturbation of twelve transcription factors (TFs), we show that chromatin-opening TFs are the primary determinants …
ch
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Accès ouvert
2026
erratum
OpenAlex
Malte Tölle, Lukas Burger, Halvar Kelm, Florian André et autres
In the original version of this article, the affiliation details for authors were incorrectly given.
Accès ouvert
2025
article
OpenAlex
Lukas Burger, M. Ben Amor, Fabian Haitz, Carolin Schöchlin et autres
= 2.3 mM). Supplementation of Celluclast® with TS increased glucose release from cellulose and wheat straw and reached levels comparable to Cellic®CTec2 on wheat straw after 24 h. All enzymes catalyzed condensation reactions and produced up to 55 g/L disaccharides, with TS …
de
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Accès ouvert
2025
erratum
OpenAlex
Malte Tölle, Lukas Burger, Halvar Kelm, Florian André et autres
203
de
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Accès ouvert
2025
preprint
OpenAlex
Jeffrey C. Way, Daniel Heid, Maria Theiss, Lucas Barck et autres
Abstract Pancreatitis results from premature activation and impaired inactivation of pancreatic proteases, primarily trypsin, leading to self-digestion, tissue necrosis, fibrosis, and inflammation. SPINK1 is a pancreas-specific inhibitor of trypsin that prevents premature trypsin activation, and could be a candidate therapeutic. However, because …
us, de
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Accès ouvert
2025
article
OpenAlex
Malte Tölle, Lukas Burger, Halvar Kelm, Florian André et autres
Purpose Federated training is often challenging on heterogeneous datasets due to divergent data storage options, inconsistent naming schemes, varied annotation procedures, and disparities in label quality. This is particularly evident in the emerging multi-modal learning paradigms, where dataset harmonization including a uniform …
de
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Accès ouvert
2024
preprint
OpenAlex
Malte Tölle, Lukas Burger, Halvar Kelm, Florian André et autres
Purpose: Federated training is often hindered by heterogeneous datasets due to divergent data storage options, inconsistent naming schemes, varied annotation procedures, and disparities in label quality. This is particularly evident in the emerging multi-modal learning paradigms, where dataset harmonization including a uniform …
2024
conference-paper
OpenAlex
Malte Tölle, Lukas Burger, Halvar Kelm, Sandy Engelhardt
de
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Accès ouvert
2023
article
OpenAlex
Lukas Burger, Lalith Sharan, Roger Karl, Christina E. Wang et autres
PURPOSE: Minimally invasive surgeries have restricted surgical ports, demanding a high skill level from the surgeon. Surgical simulation potentially reduces this steep learning curve and additionally provides quantitative feedback. Markerless depth sensors show great promise for quantification, but most such sensors are …
de
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2022
book-chapter
OpenAlex
Lukas Burger, Lalith Sharan, Samantha Fischer, J. Brand et autres
de
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Accès ouvert
2020
article
OpenAlex
Lalith Sharan, Lukas Burger, Georgii Kostiuchik, Ivo Wolf et autres
Abstract In endoscopy, depth estimation is a task that potentially helps in quantifying visual information for better scene understanding. A plethora of depth estimation algorithms have been proposed in the computer vision community. The endoscopic domain however, differs from the typical depth …
de
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2013
article
OpenAlex
Nature Publishing, Group All, Lukas Burger, Erik van Nimwegen
www.molecularsystemsbiology.com Accurate prediction of protein–protein interactions from sequence alignments using a Bayesian method