Zobrazeno 1 - 10
of 362
pro vyhledávání: '"Manfred, Kayser"'
Autor:
Xianjing Liu, Tobias E. Sangers, Tamar Nijsten, Manfred Kayser, Luba M. Pardo, Eppo B. Wolvius, Gennady V. Roshchupkin, Marlies Wakkee
Publikováno v:
EClinicalMedicine, Vol 71, Iss , Pp 102550- (2024)
Summary: Background: Efficient identification of individuals at high risk of skin cancer is crucial for implementing personalized screening strategies and subsequent care. While Artificial Intelligence holds promising potential for predictive analysi
Externí odkaz:
https://doaj.org/article/62c4a4a0cee14b079735548b4e488e3b
Autor:
Kilian Obermeyer, Manfred Kayser
Publikováno v:
Smart Agricultural Technology, Vol 6, Iss , Pp 100349- (2023)
In dairy farming, sensors are commonly applied to monitor animal health and performance. One key task of such sensors is the behaviour classification of cows. The behaviour classification needs to take into account the differences between stable and
Externí odkaz:
https://doaj.org/article/cf53a799dd124a39acce420223022ffd
Autor:
Lucie Kulhankova, Diego Montiel González, Eric Bindels, Daniel Kling, Manfred Kayser, Eskeatnaf Mulugeta
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-14 (2023)
A method is developed by combining scRNA-sequencing and a bioinformatics pipeline to separate individuals in multi-person biological mixtures, and, subsequently, determine the ancestry and sex of the separated individuals and genetically identify the
Externí odkaz:
https://doaj.org/article/0b1b07f42efd4c008c9aa0559869b156
Publikováno v:
Ecological Processes, Vol 12, Iss 1, Pp 1-12 (2023)
Abstract Background Public interest in the way food is produced on the farm and processed along the food-production chain is increasing. The analysis of isotopic signatures (13C) in cow tail hair provides a method to reconstruct the dietary proportio
Externí odkaz:
https://doaj.org/article/0773721d9c454028989f66ec481caea1
Autor:
Ziyi Xiong, Xingjian Gao, Yan Chen, Zhanying Feng, Siyu Pan, Haojie Lu, Andre G. Uitterlinden, Tamar Nijsten, Arfan Ikram, Fernando Rivadeneira, Mohsen Ghanbari, Yong Wang, Manfred Kayser, Fan Liu
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-20 (2022)
Combining multiple related traits can increase power in genetic association studies. Here, the authors develop a method to integrate GWAS statistics for multiple traits and apply it to find genetic loci affecting human facial variation.
Externí odkaz:
https://doaj.org/article/0402de6f342c468887e64d813f16ea61
Publikováno v:
FASEB BioAdvances, Vol 3, Iss 12, Pp 1011-1019 (2021)
Abstract DNA variants in or close to the human TBX15 and PAX1 genes have been repeatedly associated with facial morphology in independent genome‐wide association studies, while their functional roles in determining facial morphology remain to be un
Externí odkaz:
https://doaj.org/article/34f0b7f9d13f48d895a2f8321b0f0bd5
Publikováno v:
Mires and Peat, Vol 27, Iss 28, Pp 1-14 (2021)
Potassium availability is an important regulator of plant species composition and ecosystem productivity. Hence, potassium plays a crucial role when the aim is to produce notable quantities of roughage in wet grassland farming. The objective of this
Externí odkaz:
https://doaj.org/article/0ef05c0e6e514124b95a7f336f066e60
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-29 (2021)
Abstract Background Illumina DNA methylation microarrays enable epigenome-wide analysis vastly used for the discovery of novel DNA methylation variation in health and disease. However, the microarrays’ probe design cannot fully consider the vast hu
Externí odkaz:
https://doaj.org/article/94fd2ec1b2204efda28ab48cb0f5d1e2
Autor:
Arno van Hilten, Steven A. Kushner, Manfred Kayser, M. Arfan Ikram, Hieab H. H. Adams, Caroline C. W. Klaver, Wiro J. Niessen, Gennady V. Roshchupkin
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-9 (2021)
van Hilten and colleagues present GenNet, a deep-learning framework for predicting phenotype from genetic data. This framework generates interpretable neural networks that provide insight into the genetic basis of complex traits and diseases.
Externí odkaz:
https://doaj.org/article/204c0fb0a15742cb9761a666d57de397
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
Human microbiome research is moving from characterization and association studies to translational applications in medical research, clinical diagnostics, and others. One of these applications is the prediction of human traits, where machine learning
Externí odkaz:
https://doaj.org/article/3406bf71bfd14b6580d9df83125fa627