Fabian J Theis

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Secondary Keywords
Secondary keywords form a more comprehensive list including all terms that have been directly related to the research of this scientist - they may represent collaborations rather than the primary research focus.
methods
analogs & derivatives
Genetics
drug effects
diagnostic use
Metabolism
Pharmacology
biosynthesis
blood
Physiology
cytology
Cell Line, Tumor
Glucose Tolerance Test
Lipids
Interleukin-6
Gene Knockout Techniques
Cell Differentiation
Phosphorylation
Gene Expression Regulation
Metabolomics
Adult
Octamer Transcription Factor-3
Transcription Factors
Multiprotein Complexes
Embryonic Stem Cells
Alcohol Oxidoreductases
Hepatocytes
Forkhead Transcription Factors
Normal Distribution
Blastocyst
Stress, Physiological
Feedback, Physiological
Carnitine
Metabolic Networks and Pathways
Ligands
Receptors, Antigen, T-Cell
Epithelial-Mesenchymal Transition
Humans
Protein Interaction Maps
Signal Transduction
Computational Biology
RNA, Messenger
Oxidation-Reduction
Mice
Fasting
Computer Simulation
Male
Models, Genetic
Fatty Acids
Receptors, Cell Surface
Algorithms
Magnetic Resonance Spectroscopy
Animals
Metabolome
Gene Expression Regulation, Developmental
Nodal Protein
Myeloid Progenitor Cells
Gastrulation
Systems Biology
Cytokine Receptor gp130
Gene Expression Profiling
Cold Temperature
dna binding proteins
Exercise
Immunoblotting
Kinetics
MicroRNAs
Lipid Metabolism
Time Factors
Models, Biological
T-Lymphocytes
Reproducibility of Results
Breath Tests
Gene Regulatory Networks
Logistic Models

Papers
To get the community network started, we have populated the database with almost 2000 papers from PubMed which had clear connections to both systems biology and European institutes. Due to the automated nature of this search many relevant papers may be missing. Registered researchers can correct these mistakes by adding more of their own papers to their profiles, or removing the non-relevant ones.

High-dimensional Bayesian parameter estimation: case study for a model of JAK2/STAT5 signaling.
Hug S et al.
2013
Math Biosci
Lessons learned from quantitative dynamical modeling in systems biology.
Raue A et al.
2013
PLoS One
Joining forces of Bayesian and frequentist methodology: a study for inference in the presence of non-identifiability.
Raue A et al.
2013
Philos Trans A Math Phys Eng Sci
The dynamic range of the human metabolome revealed by challenges.
Krug S et al.
2012
FASEB J
An ensemble approach for inferring semi-quantitative regulatory dynamics for the differentiation of mouse embryonic stem cells using prior knowledge.
Lutter D et al.
2012
Adv Exp Med Biol
Bayesian model selection validates a biokinetic model for zirconium processing in humans.
Schmidl D et al.
2012
BMC Syst Biol
Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data.
Krumsiek J et al.
2011
BMC Syst Biol
Hierarchical differentiation of myeloid progenitors is encoded in the transcription factor network.
Krumsiek J et al.
2011
PLoS One
Theoretical analysis of time-to-peak responses in biological reaction networks.
Theis FJ et al.
2011
Bull Math Biol
Effective parameters determining the information flow in hierarchical biological systems.
Blöchl F et al.
2011
Bull Math Biol

Pages