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BMC Bioinformatics
|
March 16, 2021
stochprofML: stochastic profiling using maximum likelihood estimation in R
Lisa Amrhein, Christiane Fuchs
Royal Society Open Science
|
November 18, 2020
Bayesian inference for diffusion processes: using higher-order approximations for transition densities
Susanne Pieschner, Christiane Fuchs
Journal of Mathematical Biology
|
May 16, 2022
Identifiability analysis for models of the translation kinetics after mRNA transfection
Susanne Pieschner, Jan Hasenauer, Christiane Fuchs
IET Systems Biology
|
September 26, 2015
Identifying latent dynamic components in biological systems
Ivan Kondofersky, Christiane Fuchs, Fabian J Theis
Advances in Wound Care
|
November 22, 2019
When Wounds Are Good for You: The Regenerative Capacity of Fractional Resurfacing and Potential Utility in Chronic Wound Prevention
Ben D Leaker, Christiane Fuchs, Joshua Tam
Computational and Mathematical Methods in Medicine
|
January 10, 2018
Correcting Classifiers for Sample Selection Bias in Two-Phase Case-Control Studies
Norbert Krautenbacher, Fabian J Theis, Christiane Fuchs
IET Systems Biology
|
November 24, 2016
Inferring catalysis in biological systems
Ivan Kondofersky, Fabian J Theis, Christiane Fuchs
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
October 11, 2014
Bayesian blind source separation for data with network structure
Katrin Illner, Christiane Fuchs, Fabian J Theis
Human Molecular Genetics
|
June 10, 2009
Functional interaction of mammalian target of rapamycin complexes in regulating mammalian cell size and cell cycle
Margit Rosner, Christiane Fuchs, Nicol Siegel, et al.
Leukemia Research
|
March 17, 2009
New insights into the role of the tuberous sclerosis genes in leukemia
Margit Rosner, Christiane Fuchs, Nicol Siegel, et al.
Page
of 7
Search research articles
Search
Showing results (1-10 of 70) with videos related to
Sort By:
Page
of 7
BMC Bioinformatics
|
March 16, 2021
stochprofML: stochastic profiling using maximum likelihood estimation in R
Lisa Amrhein, Christiane Fuchs
Royal Society Open Science
|
November 18, 2020
Bayesian inference for diffusion processes: using higher-order approximations for transition densities
Susanne Pieschner, Christiane Fuchs
Journal of Mathematical Biology
|
May 16, 2022
Identifiability analysis for models of the translation kinetics after mRNA transfection
Susanne Pieschner, Jan Hasenauer, Christiane Fuchs
IET Systems Biology
|
September 26, 2015
Identifying latent dynamic components in biological systems
Ivan Kondofersky, Christiane Fuchs, Fabian J Theis
Advances in Wound Care
|
November 22, 2019
When Wounds Are Good for You: The Regenerative Capacity of Fractional Resurfacing and Potential Utility in Chronic Wound Prevention
Ben D Leaker, Christiane Fuchs, Joshua Tam
Computational and Mathematical Methods in Medicine
|
January 10, 2018
Correcting Classifiers for Sample Selection Bias in Two-Phase Case-Control Studies
Norbert Krautenbacher, Fabian J Theis, Christiane Fuchs
IET Systems Biology
|
November 24, 2016
Inferring catalysis in biological systems
Ivan Kondofersky, Fabian J Theis, Christiane Fuchs
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
October 11, 2014
Bayesian blind source separation for data with network structure
Katrin Illner, Christiane Fuchs, Fabian J Theis
Human Molecular Genetics
|
June 10, 2009
Functional interaction of mammalian target of rapamycin complexes in regulating mammalian cell size and cell cycle
Margit Rosner, Christiane Fuchs, Nicol Siegel, et al.
Leukemia Research
|
March 17, 2009
New insights into the role of the tuberous sclerosis genes in leukemia
Margit Rosner, Christiane Fuchs, Nicol Siegel, et al.
Page
of 7