Fabian J. Theis
Orcid: 0000-0002-2419-1943Affiliations:
- Helmholtz Munich, Institute for Computational Biology, Germany
- Technical University Munich, Germany
- University of Regensburg, Germany (PhD 2002)
- University of Granada, Spain (PhD 2003)
According to our database1,
Fabian J. Theis
authored at least 196 papers
between 2001 and 2023.
Collaborative distances:
Collaborative distances:
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Online presence:
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on zbmath.org
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on scopus.com
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on orcid.org
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on id.loc.gov
On csauthors.net:
Bibliography
2023
Nat. Mac. Intell., November, 2023
Briefings Bioinform., September, 2023
CoRR, 2023
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation.
CoRR, 2022
SystemMatch: optimizing preclinical drug models to human clinical outcomes via generative latent-space matching.
CoRR, 2022
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
2020
Model-based analysis of response and resistance factors of cetuximab treatment in gastric cancer cell lines.
PLoS Comput. Biol., 2020
DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning.
PLoS Comput. Biol., 2020
Self-supervised retinal thickness prediction enables deep learning from unlabelled data to boost classification of diabetic retinopathy.
Nat. Mach. Intell., 2020
Munich School for Data Science (MUDS) - Eine Graduiertenschule für Data Science in München.
Inform. Spektrum, 2020
Automatic identification of relevant genes from low-dimensional embeddings of single-cell RNA-seq data.
Bioinform., 2020
Copy number aberrations from Affymetrix SNP 6.0 genotyping data - how accurate are commonly used prediction approaches?
Briefings Bioinform., 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
2019
2018
Bioinform., 2018
Bayesian parameter estimation for biochemical reaction networks using region-based adaptive parallel tempering.
Bioinform., 2018
Proceedings of the Computational Methods in Systems Biology, 2018
2017
PLoS Comput. Biol., 2017
Comput. Math. Methods Medicine, 2017
Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems.
BMC Syst. Biol., 2017
pulver: an R package for parallel ultra-rapid p-value computation for linear regression interaction terms.
BMC Bioinform., 2017
A scalable moment-closure approximation for large-scale biochemical reaction networks.
Bioinform., 2017
fastER: a user-friendly tool for ultrafast and robust cell segmentation in large-scale microscopy.
Bioinform., 2017
Parameter estimation for dynamical systems with discrete events and logical operations.
Bioinform., 2017
Bioinform., 2017
2016
An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson's rule.
Stat. Comput., 2016
Inference for Stochastic Chemical Kinetics Using Moment Equations and System Size Expansion.
PLoS Comput. Biol., 2016
J. Comput. Biol., 2016
Tailored parameter optimization methods for ordinary differential equation models with steady-state constraints.
BMC Syst. Biol., 2016
Bioinform., 2016
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
2015
Model selection using limiting distributions of second-order blind source separation algorithms.
Signal Process., 2015
Inference of spatiotemporal effects on cellular state transitions from time-lapse microscopy.
BMC Syst. Biol., 2015
Bioinform., 2015
Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems.
Bioinform., 2015
Reconstructing gene regulatory dynamics from high-dimensional single-cell snapshot data.
Bioinform., 2015
Bioinform., 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
Approximate Bayesian Computation for Stochastic Single-Cell Time-Lapse Data Using Multivariate Test Statistics.
Proceedings of the Computational Methods in Systems Biology, 2015
2014
ODE Constrained Mixture Modelling: A Method for Unraveling Subpopulation Structures and Dynamics.
PLoS Comput. Biol., 2014
J. Comput. Biol., 2014
MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data.
BMC Bioinform., 2014
Probabilistic PCA of censored data: accounting for uncertainties in the visualization of high-throughput single-cell qPCR data.
Bioinform., 2014
Mouse IDGenes: a reference database for genetic interactions in the developing mouse brain.
Database J. Biol. Databases Curation, 2014
Proceedings of the Information Technology in Bio- and Medical Informatics, 2014
Uncertainty Analysis for Non-identifiable Dynamical Systems: Profile Likelihoods, Bootstrapping and More.
Proceedings of the Computational Methods in Systems Biology, 2014
Radial Basis Function Approximations of Bayesian Parameter Posterior Densities for Uncertainty Analysis.
Proceedings of the Computational Methods in Systems Biology, 2014
2013
SIAM J. Appl. Dyn. Syst., 2013
Sharpening of expression domains induced by transcription and microRNA regulation within a spatio-temporal model of mid-hindbrain boundary formation.
BMC Syst. Biol., 2013
BMC Bioinform., 2013
Modeling of 2D diffusion processes based on microscopy data: parameter estimation and practical identifiability analysis.
BMC Bioinform., 2013
An automatic method for robust and fast cell detection in bright field images from high-throughput microscopy.
BMC Bioinform., 2013
Proceedings of the IEEE Pacific Visualization Symposium, 2013
2012
The signal separation evaluation campaign (2007-2010): Achievements and remaining challenges.
Signal Process., 2012
J. Multivar. Anal., 2012
Bayesian model selection validates a biokinetic model for zirconium processing in humans.
BMC Syst. Biol., 2012
On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies.
BMC Bioinform., 2012
A novel approach for resolving differences in single-cell gene expression patterns from zygote to blastocyst.
Bioinform., 2012
Adv. Artif. Neural Syst., 2012
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
2011
IEEE Trans. Signal Process., 2011
Nucleic Acids Res., 2011
Modularity maximization and tree clustering: Novel ways to determine effective geographic borders
CoRR, 2011
Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data.
BMC Syst. Biol., 2011
An ISA algorithm with unknown group sizes identifies meaningful clusters in metabolomics data.
Proceedings of the 19th European Signal Processing Conference, 2011
2010
Colored Subspace Analysis: Dimension Reduction Based on a Signal's Autocorrelation Structure.
IEEE Trans. Circuits Syst. I Regul. Pap., 2010
Patterns of Subnet Usage Reveal Distinct Scales of Regulation in the Transcriptional Regulatory Network of <i>Escherichia coli</i>.
PLoS Comput. Biol., 2010
J. Integr. Bioinform., 2010
Knowledge-based matrix factorization temporally resolves the cellular responses to IL-6 stimulation.
BMC Bioinform., 2010
Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs.
BMC Bioinform., 2010
Robust Second-Order Source Separation Identifies Experimental Responses in Biomedical Imaging.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Biomedical Source Separation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Uncovering the Structure of Heterogenous Biological Data: Fuzzy Graph Partitioning in the k-partite Setting.
Proceedings of the German Conference on Bioinformatics 2010, 2010
Robust Stability Analysis of Multi-Time Scale Genetic Regulatory Networks under Parametric Uncertainties.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010
Robust Stability Analysis and Design Under Consideration of Multiple Feedback Loops in the Tryptophan Regulatory Network of E. coli.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010
2009
Spatial Analysis of Expression Patterns Predicts Genetic Interactions at the Mid-Hindbrain Boundary.
PLoS Comput. Biol., 2009
ICA, kernel methods and nonnegativity: New paradigms for dynamical component analysis of fMRI data.
Eng. Appl. Artif. Intell., 2009
Transforming Boolean models to continuous models: methodology and application to T-cell receptor signaling.
BMC Syst. Biol., 2009
Blind Decomposition of Spectral Imaging Microscopy: A Study on Artificial and Real Test Data.
Proceedings of the Independent Component Analysis and Signal Separation, 2009
Proceedings of the Independent Component Analysis and Signal Separation, 2009
Proceedings of the Independent Component Analysis and Signal Separation, 2009
Proceedings of the Independent Component Analysis and Signal Separation, 2009
2008
Money Circulation, Trackable Items, and the Emergence of Universal Human Mobility Patterns.
IEEE Pervasive Comput., 2008
Hybridizing sparse component analysis with genetic algorithms for microarray analysis.
Neurocomputing, 2008
Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent component analysis.
BMC Bioinform., 2008
Bioinform., 2008
Proceedings of the Computational Science, 2008
Stochastic Stability Analysis of the Heat Shock Response in E. Coli.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008
2007
Signal Process., 2007
EURASIP J. Adv. Signal Process., 2007
Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints.
Proceedings of the Artificial Neural Networks, 2007
Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes.
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007
2006
On the use of simulated annealing to automatically assign decorrelated components in second-order blind source separation.
IEEE Trans. Biomed. Eng., 2006
IEEE Signal Process. Lett., 2006
On the use of sparse signal decomposition in the analysis of multi-channel surface electromyograms.
Signal Process., 2006
Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils.
Neurocomputing, 2006
Eng. Appl. Artif. Intell., 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
New Riemannian metrics for speeding-up the convergence of over- and underdetermined ICA.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the International Conference on Image Processing, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
Proceedings of the 14th European Signal Processing Conference, 2006
2005
IEEE Trans. Neural Networks, 2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
A Hybridization of Simulated Annealing and Local PCA for Automatic Component Assignment Within ICA.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Hybridizing Sparse Component Analysis with Genetic Algorithms for Blind Source Separation.
Proceedings of the Biological and Medical Data Analysis, 6th International Symposium, 2005
Blind signal separation into groups of dependent signals using joint block diagonalization.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
Spatiotemporal blind source separation using double-sided approximate joint diagonalization.
Proceedings of the 13th European Signal Processing Conference, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
2004
Signal Process., 2004
Neural Comput., 2004
Int. J. Medical Informatics, 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Proceedings of the 2004 12th European Signal Processing Conference, 2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
An Adaptive Approach to Blind Source Separation Using a Self-Organzing Map and a Neural Gas.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
A Generalized Eigendecomposition Approach Using Matrix Pencils to Remove Artefacts from 2D NMR Spectra.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003
Removing water artefacts from 2D protein NMR spectra using GEVD with congruent matrix pencils.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003
2002
Signal Process., 2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002
2001
Proceedings of the Bio-inspired Applications of Connectionism, 2001