Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Christoph Müssel"'
Publikováno v:
Journal of Statistical Software, Vol 46, Iss 5 (2012)
Setting the free parameters of classifiers to different values can have a profound impact on their performance. For some methods, specialized tuning algorithms have been developed. These approaches mostly tune parameters according to a single criteri
Externí odkaz:
https://doaj.org/article/3ff59a344ad241bcaed4ceacbc73274c
Autor:
Patrick Meyer, Pallab Maity, Andre Burkovski, Julian Schwab, Christoph Müssel, Karmveer Singh, Filipa F Ferreira, Linda Krug, Harald J Maier, Meinhard Wlaschek, Thomas Wirth, Hans A Kestler, Karin Scharffetter-Kochanek
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 12, p e1005741 (2017)
Cells and tissues are exposed to stress from numerous sources. Senescence is a protective mechanism that prevents malignant tissue changes and constitutes a fundamental mechanism of aging. It can be accompanied by a senescence associated secretory ph
Externí odkaz:
https://doaj.org/article/abba4c91a98545e68a452b8fcb3d2189
Autor:
Christoph Müssel, Nensi Ikonomi, Silke D Werle, Felix M Weidner, Markus Maucher, Julian D Schwab, Hans A Kestler
Publikováno v:
Bioinformatics. 38:4893-4900
MotivationBiological processes are complex systems with distinct behaviour. Despite the growing amount of available data, knowledge is sparse and often insufficient to investigate the complex regulatory behaviour of these systems. Moreover, different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b2354f4443e44532d242fe5a0e5700d
https://doi.org/10.1093/bioinformatics/btac623
https://doi.org/10.1093/bioinformatics/btac623
Autor:
Lars Bullinger, Florian Schmid, Matthias Schmid, Christian Buske, Hans A. Kestler, J. Eric Sträng, Christoph Müssel, Johann M. Kraus
Publikováno v:
Bioinformatics. 32:1891-1894
Summary: Over the past years growing knowledge about biological processes and pathways revealed complex interaction networks involving many genes. In order to understand these networks, analysis of differential expression has continuously moved from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae8918cc1eb53ac01c9f81fa2af0abae
https://doi.org/10.1093/bioinformatics/btw030
https://doi.org/10.1093/bioinformatics/btw030
Autor:
Karmveer Singh, Andre Burkovski, Pallab Maity, Thomas Wirth, Meinhard Wlaschek, Patrick Meyer, Filipa F. Ferreira, Karin Scharffetter-Kochanek, Linda Krug, Christoph Müssel, Julian D. Schwab, Hans A. Kestler, Harald J. Maier
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 13, Iss 12, p e1005741 (2017)
PLoS Computational Biology, Vol 13, Iss 12, p e1005741 (2017)
Cells and tissues are exposed to stress from numerous sources. Senescence is a protective mechanism that prevents malignant tissue changes and constitutes a fundamental mechanism of aging. It can be accompanied by a senescence associated secretory ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ca4af31393ab3c47fe36db7bbef4937
http://europepmc.org/articles/PMC5730191
http://europepmc.org/articles/PMC5730191
Autor:
Florian Schmid, Christoph Müssel, Hans A. Kestler, Martin Hopfensitz, Tamara J. Blätte, Ludwig Lausser
Publikováno v:
Bioinformatics. 32:465-468
Motivation: When processing gene expression profiles or other biological data, it is often required to assign measurements to distinct categories (e.g. ‘high’ and ‘low’ and possibly ‘intermediate’). Subsequent analyses strongly depend on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3a4164c57bc1aac12b7e55fea6e781a
https://doi.org/10.1093/bioinformatics/btv591
https://doi.org/10.1093/bioinformatics/btv591
Publikováno v:
Bioinformatics (Oxford, England). 33(4)
Summary Mathematical models and their simulation are increasingly used to gain insights into cellular pathways and regulatory networks. Dynamics of regulatory factors can be modeled using Boolean networks (BNs), among others. Text-based representatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f7fd886cd20bebcf0ce2a8b0928ebb1
https://pubmed.ncbi.nlm.nih.gov/27797768
https://pubmed.ncbi.nlm.nih.gov/27797768
Publikováno v:
Analysis of Large and Complex Data ISBN: 9783319252247
ECDA
ECDA
We survey existing measures to analyze the search behavior of Ant Colony Optimization (ACO) algorithms and introduce a new uncertainty measure for characterizing three ACO variants. Unlike previous measures, the group uncertainty allows for quantifyi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14b028a0a017d1f9185430e62a321749
https://doi.org/10.1007/978-3-319-25226-1_44
https://doi.org/10.1007/978-3-319-25226-1_44
Publikováno v:
Computational Statistics. 29:81-95
The $$k$$ -Nearest Neighbour classifier is widely used and popular due to its inherent simplicity and the avoidance of model assumptions. Although the approach has been shown to yield a near-optimal classification performance for an infinite number o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f83213a9c80da946ff55aea4d20a7f94
https://doi.org/10.1007/s00180-012-0379-0
https://doi.org/10.1007/s00180-012-0379-0
Publikováno v:
Computational Statistics. 28:19-36
Boolean networks are a popular class of models for the description of gene-regulatory networks. They model genes as simple binary variables, being either expressed or not expressed. Simulations of Boolean networks can give insights into the dynamics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c91848e9445428fd082c4644cc85a64
https://doi.org/10.1007/s00180-012-0324-2
https://doi.org/10.1007/s00180-012-0324-2