Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Silke D, Kühlwein"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 571-582 (2020)
Boolean network models are one of the simplest models to study complex dynamic behavior in biological systems. They can be applied to unravel the mechanisms regulating the properties of the system or to identify promising intervention targets. Since
Externí odkaz:
https://doaj.org/article/317b3aba4f5b4a39855c3aaabf83f8d7
Autor:
Angelika M R Kestler, Silke D Kühlwein, Johann M Kraus, Julian D Schwab, Robin Szekely, Patrick Thiam, Rolf Hühne, Niels Jahn, Axel Fürstberger, Nensi Ikonomi, Julien Balig, Rainer Schuler, Peter Kuhn, Florian Steger, Thomas Seufferlein, Hans A Kestler
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0252493 (2021)
The occurrence of adverse events frequently accompanies tumor treatments. Side effects should be detected and treated as soon as possible to maintain the best possible treatment outcome. Besides the standard reporting system Common Terminology Criter
Externí odkaz:
https://doaj.org/article/7c4f2bc7cbab4343b2e462efc97fb19c
Publikováno v:
Frontiers in Physiology, Vol 11 (2020)
Hematopoietic stem cells (HSCs) provide all types of blood cells during the entire life of the organism. HSCs are mainly quiescent and can eventually enter the cell cycle to differentiate. HSCs are maintained and tightly regulated in a particular env
Externí odkaz:
https://doaj.org/article/aafbedae06a048a2909ac48696bea262
Autor:
Lea Siegle, Julian D Schwab, Silke D Kühlwein, Ludwig Lausser, Stefan Tümpel, Astrid S Pfister, Michael Kühl, Hans A Kestler
Publikováno v:
PLoS ONE, Vol 13, Iss 3, p e0195126 (2018)
Aging is a complex biological process, which determines the life span of an organism. Insulin-like growth factor (IGF) and Wnt signaling pathways govern the process of aging. Both pathways share common downstream targets that allow competitive crosst
Externí odkaz:
https://doaj.org/article/3234458c01a54063be25c6075322103f
Autor:
Hans A. Kestler, Cornelia Brunner, Hartmut Döhner, Verena I. Gaidzik, Nensi Ikonomi, Axel Fürstberger, Simon Laban, Johann M. Kraus, Donna Neuberg, Thomas K. Hoffmann, Silke D. Kühlwein, Gunnar Völkel
Publikováno v:
Briefings in Bioinformatics
Cancer is a complex and heterogeneous disease involving multiple somatic mutations that accumulate during its progression. In the past years, the wide availability of genomic data from patients' samples opened new perspectives in the analysis of gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fd211c290e9f76c887867346fc6add2
https://doi.org/10.1093/bib/bbab280
https://doi.org/10.1093/bib/bbab280
Autor:
Oliver Pötz, Michael Kühl, Silke D. Kühlwein, Barbara Kracher, Luc De Raedt, Hans A. Kestler, Astrid S. Pfister, Alexander Groß, Thomas O. Joos, Sebastian Wiese, Dries Van Daele, Katrin Luckert, Johann M. Kraus
Publikováno v:
Communications Biology, Vol 2, Iss 1, Pp 1-12 (2019)
Communications Biology
Communications Biology
Dynamic models analyzing gene regulation and metabolism face challenges when adapted to modeling signal transduction networks. During signal transduction, molecular reactions and mechanisms occur in different spatial and temporal frames and involve f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4276b506695891650cb756fb7ce77550
http://link.springer.com/article/10.1038/s42003-018-0268-3
http://link.springer.com/article/10.1038/s42003-018-0268-3
Autor:
Donna Neuberg, Hans A. Kestler, Cornelia Brunner, Hartmut Döhner, Simon Laban, Nensi Ikonomi, Verena I. Gaidzik, Thomas K Hoffman, Gunnar Völkel, Axel Fürstberger, Silke D. Kühlwein, Johann M. Kraus
Publikováno v:
Briefings in Bioinformatics
Motivation Cancer is a complex and heterogeneous disease involving multiple somatic mutations that accumulate during its progression. In the past years, the wide availability of genomic data from patients’ samples opened new perspectives in the ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb7db776fa26875902a22366aec5265a
http://europepmc.org/articles/PMC8138884
http://europepmc.org/articles/PMC8138884
Ordinal classifier cascades are constrained by a hypothesised order of the semantic class labels of a dataset. This order determines the overall structure of the decision regions in feature space. Assuming the correct order on these class labels will
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f060b6c290cd4e2700ee0f10a7beab7a
Autor:
Jürgen Sühnel, Silke D. Kühlwein, Axel Fürstberger, Ludwig Lausser, Rolf Hühne, Matthias Platzer, Hans A. Kestler, Viktor Kessler
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-19 (2018)
BMC Bioinformatics
BMC bioinformatics, 19:390
BMC Bioinformatics
BMC bioinformatics, 19:390
Background The Ageing Factor Database AgeFactDB contains a large number of lifespan observations for ageing-related factors like genes, chemical compounds, and other factors such as dietary restriction in different organisms. These data provide quant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81f65adc546465b1410c7c67760e7324
http://link.springer.com/article/10.1186/s12859-018-2393-x
http://link.springer.com/article/10.1186/s12859-018-2393-x
Autor:
Umesh, Tharehalli, Michael, Svinarenko, Johann M, Kraus, Silke D, Kühlwein, Robin, Szekely, Ute, Kiesle, Annika, Scheffold, Thomas F E, Barth, Alexander, Kleger, Reinhold, Schirmbeck, Hans A, Kestler, Thomas, Seufferlein, Franz, Oswald, Sarah-Fee, Katz, André, Lechel
Publikováno v:
International Journal of Molecular Sciences
Liver cholestasis is a chronic liver disease and a major health problem worldwide. Cholestasis is characterised by a decrease in bile flow due to impaired secretion by hepatocytes or by obstruction of bile flow through intra- or extrahepatic bile duc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::722f861aa0238db493dd834c67d19c5a
https://pubmed.ncbi.nlm.nih.gov/30501048
https://pubmed.ncbi.nlm.nih.gov/30501048