Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Martin Ringsquandl"'
Autor:
Florin Ratajczak, Mitchell Joblin, Marcel Hildebrandt, Martin Ringsquandl, Pascal Falter-Braun, Matthias Heinig
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
Abstract Understanding phenotype-to-genotype relationships is a grand challenge of 21st century biology with translational implications. The recently proposed “omnigenic” model postulates that effects of genetic variation on traits are mediated b
Externí odkaz:
https://doaj.org/article/d6aa5587ed6547739383db192188e560
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-19 (2022)
Abstract Background Drug repurposing aims at finding new targets for already developed drugs. It becomes more relevant as the cost of discovering new drugs steadily increases. To find new potential targets for a drug, an abundance of methods and exis
Externí odkaz:
https://doaj.org/article/bc47291f086341fd8c36f1644c2cdecd
Publikováno v:
Proceedings of the Institution of Civil Engineers-Smart Infrastructure and Construction, 175 (4)
Automated parsing of design data will increasingly be a prerequisite for efficient data- and analytics-driven management of building portfolios. The high complexity and low rigidity of building information modelling (BIM) model exchange standards suc
Autor:
Florin Ratajczak, Mitchell Joblin, Marcel Hildebrandt, Martin Ringsquandl, Pascal Falter-Braun, Matthias Heinig
Understanding phenotype-to-genotype relationships is a grand challenge of 21st century biology with translational implications. The recently proposed “omnigenic” model postulates that effects of genetic variation on traits are mediated bycore-gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcd750f03407e4f86885a97887e7bf83
https://doi.org/10.1101/2023.01.13.523556
https://doi.org/10.1101/2023.01.13.523556
Autor:
Mitchell Joblin, Houssem Sellami, Sebastian Weber, Martin Ringsquandl, S. Henselmeyer, Dagmar Beyer, Marcel Hildebrandt
Publikováno v:
CIKM
The application of graph neural networks (GNNs) to the domain of electrical power grids has high potential impact on smart grid monitoring. Even though there is a natural correspondence of power flow to message-passing in GNNs, their performance on p
Publikováno v:
BMC Bioinformatics 23:84 (2022)
BackgroundDrug repurposing aims at finding new targets for already developed drugs. It becomes more relevant as the cost of discovering new drugs steadily increases. To find new potential targets for a drug, an abundance of methods and existing biome
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41a647545350841ddf38cd7876574e56
https://doi.org/10.21203/rs.3.rs-721705/v1
https://doi.org/10.21203/rs.3.rs-721705/v1
Autor:
Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas Runkler
Publikováno v:
Rules and Reasoning ISBN: 9783030911669
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ddf4e4223ca7d5ce8dd960000c8bdbc
https://doi.org/10.1007/978-3-030-91167-6_12
https://doi.org/10.1007/978-3-030-91167-6_12
Autor:
Ian Horrocks, Daria Stepanova, Steffen Lamparter, Evgeny Kharlamov, Raffaello Lepratti, Martin Ringsquandl, Peer Kröger
Publikováno v:
IEEE BigData
Smart factories are equipped with machines that can sense their manufacturing environments, interact with each other, and control production processes. Smooth operation of such factories requires that the machines and engineering personnel that condu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f7aacecc1250ccb04c57c033c069cf2
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030937355
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4132b0b0b47f63f77599efc2e470a9c
https://doi.org/10.1007/978-3-030-93736-2_6
https://doi.org/10.1007/978-3-030-93736-2_6
Autor:
Rime Raissouni, Volker Tresp, Mitchell Joblin, Yushan Liu, Marcel Hildebrandt, Martin Ringsquandl
Publikováno v:
The Semantic Web ISBN: 9783030773847
ESWC
ESWC
Biomedical knowledge graphs permit an integrative computational approach to reasoning about biological systems. The nature of biological data leads to a graph structure that differs from those typically encountered in benchmarking datasets. To unders
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8de3e3ab95567a1044c41c1fcbe018eb
https://doi.org/10.1007/978-3-030-77385-4_22
https://doi.org/10.1007/978-3-030-77385-4_22