Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Frank Rügheimer"'
1
Global Network Reorganization During Dynamic Adaptations of Bacillus subtilis Metabolism
Autor: Claus Hultschig, Patrick Veiga, Edda Klipp, Michael Hecker, Annette Hansen, Etienne Dervyn, Elena Bidnenko, Philippe Noirot, Bernd Hessling, Emma L. Denham, Markus Uhr, Susanne Pohl, Ludovic Le Chat, Joerg Martin Buescher, Benno Schwikowski, Hanne Østergaard Jarmer, Jan Muntel, Bernd Rinn, Pierre Nicolas, Jan Maarten van Dijl, Roelco J. Kleijn, Simon Rasmussen, Colin R. Harwood, Samuel Drulhe, Liza Felicori, Jörg Stelling, Sean Walsh, Kevin M. Devine, Frank Rügheimer, Nathalie Pigeonneau, Dörte Becher, Mark J. Fogg, Peter J. Lewis, Eric Botella, Geoff Doherty, Philippe Bessières, Ulrike Mäder, Marc Schaffer, Sjouke Piersma, Stéphane Aymerich, Anthony J. Wilkinson, Anne Goelzer, Julian Schnidder, F. Molina, Wolfram Liebermeister, Uwe Sauer, Sabine Peres, Sebastian Hubner, Matthieu Jules, François Lecointe, Aurélie Leduc
Publikováno v: Science
Science, American Association for the Advancement of Science, 2012, 335 (6072), pp.1099-1103. ⟨10.1126/science.1206871⟩
Science, 2012, 335 (6072), pp. 1099-1103. ⟨10.1126/science.1206871⟩
Science, 2012, 335 (6072), pp.1099-1103. ⟨10.1126/science.1206871⟩
Science, 335(6072), 1099-1103. AMER ASSOC ADVANCEMENT SCIENCE
Outside In Acquisition and analysis of large data sets promises to move us toward a greater understanding of the mechanisms by which biological systems are dynamically regulated to respond to external cues. Now, two papers explore the responses of a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec31dfbe5e60ff7fce5721e46e4e5360
https://research.rug.nl/en/publications/43e8904b-4689-4bfe-aa20-09645cc7a615
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2
The Cyni framework for network inference in Cytoscape
Autor: Manjunath Kustagi, Benno Schwikowski, Frank Rügheimer, Andrea Califano, Oriol Guitart-Pla
Publikováno v: Bioinformatics. 31:1499-1501
Motivation: Research on methods for the inference of networks from biological data is making significant advances, but the adoption of network inference in biomedical research practice is lagging behind. Here, we present Cyni, an open-source ‘fill-
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::944e86f6dfffc3e290d8d70cf6e4a6da
https://doi.org/10.1093/bioinformatics/btu812
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3
Applications of Intelligent Data Analysis for the Discovery of Gene Regulatory Networks
Autor: Frank Rügheimer
Publikováno v: Computational Intelligence in Intelligent Data Analysis ISBN: 9783642323775
The availability of cheap sequencing and measurement techniques in molecular biology sustains a rapid increase in both quantity and quality of biomedical data. But although such methods provide detailed information about gene expression levels in sam
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::128a487f1508a132f63d68cda2f5cd1b
https://doi.org/10.1007/978-3-642-32378-2_17
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4
Fragmentation-free LC-MS can identify hundreds of proteins
Autor: Frank Rügheimer, David R. Goodlett, Peter Brooks, Pascal Bochet, Peter Clote, Tina Guina, Benno Schwikowski
Publikováno v: Proteomics
Proteomics, Wiley-VCH Verlag, 2011, 11 (1), pp.22-32. ⟨10.1002/pmic.200900765⟩
Proteomics, 2011, 11 (1), pp.22-32. ⟨10.1002/pmic.200900765⟩
International audience; One of the most common approaches for large-scale protein identification is LC, followed by MS. If more than a few proteins are to be identified, the additional fragmentation of individual peptides has so far been considered a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::978260bd56a565c3f423b88f919608f6
https://hal.archives-ouvertes.fr/hal-00624088
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5
Using Enriched Ontology Structure for Improving Statistical Models of Gene Annotation Sets
Autor: Frank Rügheimer
Publikováno v: Communications in Computer and Information Science ISBN: 9783642140570
IPMU (2)
The statistical analysis of annotations provided for genes and gene products supports biologists in their interpretation of data from large-scale experiments. Comparing, for instance, distributions of annotations associated with differentially expres
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9846274139d4bd2e676a2e455cc553a2
https://doi.org/10.1007/978-3-642-14058-7_6
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7
Graphical Models for Industrial Planning on Complex Domains
Autor: Jörg Gebhardt, Heinz Detmer, Aljoscha Klose, Frank Rügheimer, Rudolf Kruse
Publikováno v: Decision Theory and Multi-Agent Planning ISBN: 9783211317877
Decision Theory and Multi-Agent Planning
In real world applications planners are frequently faced with complex variable dependencies in high dimensional domains. In addition to that, they typically have to start from a very incomplete picture that is expanded only gradually as new informati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4abd392dc6f9bb33b6297108be6923f4
https://doi.org/10.1007/3-211-38167-8_8
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8
Adaptable Markov models in industrial planning
Autor: Rudolf Kruse, Jörg Gebhardt, Heinz Detmer, Frank Rügheimer
Publikováno v: FUZZ-IEEE
A significant number of scientific and economic problems is characterised by a large number of interrelated variables. But with larger variable number, the domain under consideration may grow fast, so that analyses and reasoning become increasingly d
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c40f1e5d81f2102dce4a7390aa2cdf25
https://doi.org/10.1109/fuzzy.2004.1375776
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