Zobrazeno 1 - 10
of 10 089
pro vyhledávání: '"Hütter"'
Autor:
Maleki, Sepideh, Huetter, Jan-Christian, Chuang, Kangway V., Scalia, Gabriele, Biancalani, Tommaso
Predicting transcriptional responses to novel drugs provides a unique opportunity to accelerate biomedical research and advance drug discovery efforts. However, the inherent complexity and high dimensionality of cellular responses, combined with the
Externí odkaz:
http://arxiv.org/abs/2412.13478
This paper introduces a novel approach to schema inference as an on-demand function integrated directly within a DBMS, targeting NoSQL databases where schema flexibility can create challenges. Unlike previous methods relying on external frameworks li
Externí odkaz:
http://arxiv.org/abs/2411.13278
Autor:
Mao, Haiyi, Lopez, Romain, Liu, Kai, Hütter, Jan-Christian, Richmond, David, Benos, Panayiotis V., Qiu, Lin
The study of cells and their responses to genetic or chemical perturbations promises to accelerate the discovery of therapeutic targets. However, designing adequate and insightful models for such data is difficult because the response of a cell to pe
Externí odkaz:
http://arxiv.org/abs/2410.22472
Large Language Models (LLMs) exhibit potentially harmful biases that reinforce culturally inherent stereotypes, cloud moral judgments, or amplify positive evaluations of majority groups. Previous explanations mainly attributed bias in LLMs to human a
Externí odkaz:
http://arxiv.org/abs/2408.05568
Autor:
Yao, Heming, Hanslovsky, Phil, Huetter, Jan-Christian, Hoeckendorf, Burkhard, Richmond, David
Optical Pooled Screening (OPS) is a powerful tool combining high-content microscopy with genetic engineering to investigate gene function in disease. The characterization of high-content images remains an active area of research and is currently unde
Externí odkaz:
http://arxiv.org/abs/2406.05308
Capturing and predicting the effective mechanical properties of highly porous cellular media still represents a significant challenge for the research community, due to their complex structural interdependencies and known size effects. Micromorphic t
Externí odkaz:
http://arxiv.org/abs/2403.10532
Publikováno v:
T. Köhler, N. Kahnwald & E. Schoop (Hrsg.), Wissensgemeinschaften 2015, Dresden: TUDpress, ISBN: 978-3-95908-010-1. :107-112
Internetbasierte Gesundheitsinterventionen (IGI) finden aufgrund ihrer Vorteile und Möglichkeiten eine zunehmende Verbreitung und sind zugleich ein innovatives Forschungsfeld. Sie ermöglichen eine schnelle und weite Verbreitung bei relativ geringen
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A28952
https://tud.qucosa.de/api/qucosa%3A28952/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A28952/attachment/ATT-0/
Autor:
Lopez, Romain, Huetter, Jan-Christian, Hajiramezanali, Ehsan, Pritchard, Jonathan, Regev, Aviv
Publikováno v:
Causal Learning and Reasoning 2024
Deep Generative Models (DGMs) are versatile tools for learning data representations while adequately incorporating domain knowledge such as the specification of conditional probability distributions. Recently proposed DGMs tackle the important task o
Externí odkaz:
http://arxiv.org/abs/2401.15903