Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Hannes Klarner"'
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 6 (2018)
Cell classifier circuits are synthetic biological circuits capable of distinguishing between different cell states depending on specific cellular markers and engendering a state-specific response. An example are classifiers for cancer cells that reco
Externí odkaz:
https://doaj.org/article/0aabd4f7bf4e4070b80906d1245cc4be
Autor:
Hannes Klarner, Elisa Tonello, Laura Fontanals, Florence Janody, Claudine Chaouiya, Heike Siebert
Publikováno v:
The 12th International Conference on Computational Systems-Biology and Bioinformatics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bac9e5f9ffc3b483b673f01566cc3cb7
https://doi.org/10.1145/3486713.3486729
https://doi.org/10.1145/3486713.3486729
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. :1-1
The attractors of Boolean networks and their basins have been shown to be highly relevant for model validation and predictive modelling, e.g., in systems biology. Yet there are currently very few tools available that are able to compute and visualise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::431bc45a2768a988bd3f5d885c113aea
https://doi.org/10.1109/tcbb.2018.2879097
https://doi.org/10.1109/tcbb.2018.2879097
Publikováno v:
Bioinformatics (Oxford, England). 33(5)
Motivation The goal of this project is to provide a simple interface to working with Boolean networks. Emphasis is put on easy access to a large number of common tasks including the generation and manipulation of networks, attractor and basin computa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6c8edf5cdd46ae80595b3119e4a6fa3
https://pubmed.ncbi.nlm.nih.gov/27797783
https://pubmed.ncbi.nlm.nih.gov/27797783
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9:1338-1351
This paper is concerned with the analysis of labeled Thomas networks using discrete time series. It focuses on refining the given edge labels and on assessing the data quality. The results are aimed at being exploitable for experimental design and in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e781a7b572ef1ca39c9fde94c79f9a15
https://doi.org/10.1109/tcbb.2012.61
https://doi.org/10.1109/tcbb.2012.61
Asymptotic behaviors are often of particular interest when analyzing Boolean networks that represent biological systems such as signal trans- duction or gene regulatory networks. Methods based on a generalization of the steady state notion, the so-ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08bbafc40cabb76e8d0ad6c634d5be05
Publikováno v:
Natural Computing. 17:437-437
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45d3f5daa99eb054ee49d26bf9f68055
https://doi.org/10.1007/s11047-016-9611-0
https://doi.org/10.1007/s11047-016-9611-0
Publikováno v:
Computational Methods in Systems Biology ISBN: 9783319129815
CMSB
CMSB
Methods for model integration have become increasingly popular for understanding of the interplay between biological processes. In this work, we introduce an approach for coupling models taking uncertainties concerning the crosstalk into account. Usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6055fc2574434c77d991e23294ddebb4
https://doi.org/10.1007/978-3-319-12982-2_3
https://doi.org/10.1007/978-3-319-12982-2_3
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319115191
ACRI
ACRI
Asymptotic behavior is often of particular interest when analyzing asynchronous Boolean networks representing biological systems such as signal transduction or gene regulatory networks. Methods based on a generalization of the steady state notion, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b623a003b1605d45bb1c3340f1d2b2a9
https://doi.org/10.1007/978-3-319-11520-7_59
https://doi.org/10.1007/978-3-319-11520-7_59
Publikováno v:
Computational Methods in Systems Biology ISBN: 9783642336355
CMSB
CMSB
We propose a new methodology for identification and analysis of discrete gene networks as defined by Rene Thomas, supported by a tool chain: (i) given a Thomas network with partially known kinetic parameters, we reduce the number of acceptable parame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4129e2a0810561b9436b0f19a7fe5a86
https://doi.org/10.17169/refubium-18650
https://doi.org/10.17169/refubium-18650