Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Urszula Czerwińska"'
Autor:
Petr V. Nazarov, Anke K. Wienecke-Baldacchino, Andrei Zinovyev, Urszula Czerwińska, Arnaud Muller, Dorothée Nashan, Gunnar Dittmar, Francisco Azuaje, Stephanie Kreis
Publikováno v:
BMC Medical Genomics, Vol 12, Iss 1, Pp 1-17 (2019)
Abstract Background The amount of publicly available cancer-related “omics” data is constantly growing and can potentially be used to gain insights into the tumour biology of new cancer patients, their diagnosis and suitable treatment options. Ho
Externí odkaz:
https://doaj.org/article/1bd44d850a1c42fcbb8782cae13fdfc5
Autor:
Maria Kondratova, Urszula Czerwinska, Nicolas Sompairac, Sebastian D. Amigorena, Vassili Soumelis, Emmanuel Barillot, Andrei Zinovyev, Inna Kuperstein
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
The complexity of the innate immune response to cancer makes interpretation of large data sets challenging. Here, the authors provide an integrated multi-scale map of signalling networks representing the different immune cells and their interactions
Externí odkaz:
https://doaj.org/article/d431490a7031492db83471392f547ffe
Autor:
Andrei Zinovyev, Urszula Czerwinska, Laura Cantini, Emmanuel Barillot, Klaus M Frahm, Dima L Shepelyansky
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 2, p e1007652 (2020)
English Wikipedia, containing more than five millions articles, has approximately eleven thousands web pages devoted to proteins or genes most of which were generated by the Gene Wiki project. These pages contain information about interactions betwee
Externí odkaz:
https://doaj.org/article/b0bbe23c6be746cab10bd60345980140
Autor:
Ulykbek Kairov, Laura Cantini, Alessandro Greco, Askhat Molkenov, Urszula Czerwinska, Emmanuel Barillot, Andrei Zinovyev
Publikováno v:
BMC Genomics, Vol 18, Iss 1, Pp 1-13 (2017)
Abstract Background Independent Component Analysis (ICA) is a method that models gene expression data as an action of a set of statistically independent hidden factors. The output of ICA depends on a fundamental parameter: the number of components (f
Externí odkaz:
https://doaj.org/article/588d6aa815f846be8bed5ecc9b1f8d8b
Autor:
Aurélien Naldi, Romain M Larive, Urszula Czerwinska, Serge Urbach, Philippe Montcourrier, Christian Roy, Jérôme Solassol, Gilles Freiss, Peter J Coopman, Ovidiu Radulescu
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 3, p e1005432 (2017)
The ability to build in-depth cell signaling networks from vast experimental data is a key objective of computational biology. The spleen tyrosine kinase (Syk) protein, a well-characterized key player in immune cell signaling, was surprisingly first
Externí odkaz:
https://doaj.org/article/d46dc81fb6aa402d9f040f85e90fefd8