Fabian J. Theis

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 69

Top Venues

University of Regensburg, Germany (PHD)

Education History

University of Regensburg, Germany

PHD

Granada, Univ.

PHD

Publications

Alessandro Palma, Till Richter, Hanyi Zhang, Manuel Lubetzki, Alexander Tong, Andrea Dittadi, Fabian J. Theis
Generating Multi-Modal and Multi-Attribute Single-Cell Counts with CFGen. CoRR (2024)
Jan P. Engelmann, Alessandro Palma, Jakub M. Tomczak, Fabian J. Theis, Francesco Paolo Casale
Mixed Models with Multiple Instance Learning. AISTATS (2024)
Luca Eyring, Dominik Klein, Théo Uscidda, Giovanni Palla, Niki Kilbertus, Zeynep Akata, Fabian J. Theis
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation. ICLR (2024)
Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng
B-Cos Aligned Transformers Learn Human-Interpretable Features. CoRR (2024)
Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J. Theis, Zeynep Akata, Marco Cuturi
Disentangled Representation Learning through Geometry Preservation with the Gromov-Monge Gap. CoRR (2024)
Till Siebenmorgen, Filipe Menezes, Sabrina Benassou, Erinc Merdivan, Kieran Didi, André Santos Dias Mourão, Radoslaw Kitel, Pietro Liò, Stefan Kesselheim, Marie Piraud, Fabian J. Theis, Michael Sattler, Grzegorz M. Popowicz
MISATO: machine learning dataset of protein-ligand complexes for structure-based drug discovery. Nat. Comput. Sci. 4 (5) (2024)
Alejandro Tejada-Lapuerta, Paul Bertin, Stefan Bauer, Hananeh Aliee, Yoshua Bengio, Fabian J. Theis
Causal machine learning for single-cell genomics. CoRR (2023)
Jan P. Engelmann, Alessandro Palma, Jakub M. Tomczak, Fabian J. Theis, Francesco Paolo Casale
Attention-based Multi-instance Mixed Models. CoRR (2023)
Dominik Klein, Théo Uscidda, Fabian J. Theis, Marco Cuturi
Generative Entropic Neural Optimal Transport To Map Within and Across Spaces. CoRR (2023)
Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Fabian J. Theis, Tingying Peng, Eldad Klaiman
Training Transitive and Commutative Multimodal Transformers with LoReTTa. CoRR (2023)
Manuel Tran, Yashin Dicente Cid, Amal Lahiani, Fabian J. Theis, Tingying Peng, Eldad Klaiman
Training Transitive and Commutative Multimodal Transformers with LoReTTa. NeurIPS (2023)
Johanna Sommer, Leon Hetzel, David Lüdke, Fabian J. Theis, Stephan Günnemann
The power of motifs as inductive bias for learning molecular distributions. CoRR (2023)
Leon Hetzel, Johanna Sommer, Bastian Rieck, Fabian J. Theis, Stephan Günnemann
MAGNet: Motif-Agnostic Generation of Molecules from Shapes. CoRR (2023)
Micaela E. Consens, Cameron Dufault, Michael Wainberg, Duncan Forster, Mehran Karimzadeh, Hani Goodarzi, Fabian J. Theis, Alan Moses, Bo Wang
To Transformers and Beyond: Large Language Models for the Genome. CoRR (2023)
Hananeh Aliee, Ferdinand Kapl, Soroor Hediyeh-Zadeh, Fabian J. Theis
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity. CoRR (2023)
Juan D. Henao, Michael Lauber, Manuel Azevedo, Anastasiia Grekova, Fabian J. Theis, Markus List, Christoph Ogris, Benjamin Schubert
Multi-omics regulatory network inference in the presence of missing data. Briefings Bioinform. 24 (5) (2023)
Luca Eyring, Dominik Klein, Théo Uscidda, Giovanni Palla, Niki Kilbertus, Zeynep Akata, Fabian J. Theis
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation. CoRR (2023)
Charlotte Debus, Marie Piraud, Achim Streit, Fabian J. Theis, Markus Götz
Reporting electricity consumption is essential for sustainable AI. Nat. Mac. Intell. 5 (11) (2023)
Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng
B-Cos Aligned Transformers Learn Human-Interpretable Features. MICCAI (8) (2023)
Valentin Koch, Olle G. Holmberg, Hannah Spitzer, Johannes Schiefelbein, Ben Asani, Michael Hafner, Fabian J. Theis
Noise Transfer for Unsupervised Domain Adaptation of Retinal OCT Images. MICCAI (2) (2022)
Leon Hetzel, Simon Böhm, Niki Kilbertus, Stephan Günnemann, Mohammad Lotfollahi, Fabian J. Theis
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution. NeurIPS (2022)
Jan Engelmann, Leon Hetzel, Giovanni Palla, Lisa Sikkema, Malte Lücken, Fabian J. Theis
Uncertainty Quantification for Atlas-Level Cell Type Transfer. CoRR (2022)
Hananeh Aliee, Till Richter, Mikhail Solonin, Ignacio Ibarra, Fabian J. Theis, Niki Kilbertus
Sparsity in Continuous-Depth Neural Networks. CoRR (2022)
Tobias Bernecker, Annette Peters, Christopher L. Schlett, Fabian Bamberg, Fabian J. Theis, Daniel Rueckert, Jakob Weiß, Shadi Albarqouni
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation. CoRR (2022)
Scott Gigante, Varsha G. Raghavan, Amanda M. Robinson, Robert A. Barton, Adeeb H. Rahman, Drausin F. Wulsin, Jacques Banchereau, Noam Solomon, Luis F. Voloch, Fabian J. Theis
SystemMatch: optimizing preclinical drug models to human clinical outcomes via generative latent-space matching. CoRR (2022)
Valentin Koch, Olle G. Holmberg, Hannah Spitzer, Johannes Schiefelbein, Ben Asani, Michael Hafner, Fabian J. Theis
Noise transfer for unsupervised domain adaptation of retinal OCT images. CoRR (2022)
Hananeh Aliee, Till Richter, Mikhail Solonin, Ignacio Ibarra, Fabian J. Theis, Niki Kilbertus
Sparsity in Continuous-Depth Neural Networks. NeurIPS (2022)
Leon Hetzel, Simon Böhm, Niki Kilbertus, Stephan Günnemann, Mohammad Lotfollahi, Fabian J. Theis
Predicting single-cell perturbation responses for unseen drugs. CoRR (2022)
Christopher Lance, Malte D. Lücken, Daniel B. Burkhardt, Robrecht Cannoodt, Pia Rautenstrauch, Anna Laddach, Aidyn Ubingazhibov, Zhi-Jie Cao, Kaiwen Deng, Sumeer Khan, Qiao Liu, Nikolay Russkikh, Gleb Ryazantsev, Uwe Ohler, Angela Oliveira Pisco, Jonathan Bloom, Smita Krishnaswamy, Fabian J. Theis
Multimodal single cell data integration challenge: Results and lessons learned. NeurIPS (Competition and Demos) (2021)
Malte Lücken, Daniel Burkhardt, Robrecht Cannoodt, Christopher Lance, Aditi Agrawal, Hananeh Aliee, Ann Chen, Louise Deconinck, Angela Detweiler, Alejandro Granados, Shelly Huynh, Laura Isacco, Yang Kim, Dominik Klein, Bony de Kumar, Sunil Kuppasani, Heiko Lickert, Aaron McGeever, Joaquin Melgarejo, Honey Mekonen, Maurizio Morri, Michaela Müller, Norma Neff, Sheryl Paul, Bastian Rieck, Kaylie Schneider, Scott Steelman, Michael Sterr, Daniel Treacy, Alexander Tong, Alexandra-Chloé Villani, Guilin Wang, Jia Yan, Ce Zhang, Angela Pisco, Smita Krishnaswamy, Fabian J. Theis, Jonathan M. Bloom
A sandbox for prediction and integration of DNA, RNA, and proteins in single cells. NeurIPS Datasets and Benchmarks (2021)
Hananeh Aliee, Fabian J. Theis, Niki Kilbertus
Beyond Predictions in Neural ODEs: Identification and Interventions. CoRR (2021)
Anne E. Carpenter, Casey S. Greene, Piero Carnici, Benilton S. Carvalho, Michiel de Hoon, Stacey Finley, Kim-Anh Le Cao, Jerry S. H. Lee, Luigi Marchionni, Suzanne Sindi, Fabian J. Theis, Gregory P. Way, Jean Y. H. Yang, Elana J. Fertig
A field guide to cultivating computational biology. CoRR (2021)
Fabian J. Theis, Thomas Ludwig
Munich School for Data Science (MUDS) - Eine Graduiertenschule für Data Science in München. Inform. Spektrum 42 (6) (2020)
Adriana Pitea, Ivan Kondofersky, Steffen Sass, Fabian J. Theis, Nikola S. Müller, Kristian Unger
Copy number aberrations from Affymetrix SNP 6.0 genotyping data - how accurate are commonly used prediction approaches? Briefings Bioinform. 21 (1) (2020)
Olle G. Holmberg, Niklas D. Köhler, Thiago Martins, Jakob Siedlecki, Tina Herold, Leonie Keidel, Ben Asani, Johannes Schiefelbein, Siegfried Priglinger, Karsten U. Kortuem, Fabian J. Theis
Self-supervised retinal thickness prediction enables deep learning from unlabelled data to boost classification of diabetic retinopathy. Nat. Mach. Intell. 2 (11) (2020)
Philipp Angerer, David S. Fischer, Fabian J. Theis, Antonio Scialdone, Carsten Marr
Automatic identification of relevant genes from low-dimensional embeddings of single-cell RNA-seq data. Bioinform. 36 (15) (2020)
Janine Arloth, Gökcen Eraslan, Till F. M. Andlauer, Jade Martins, Stella Iurato, Brigitte Kühnel, Melanie Waldenberger, Josef Frank, Ralf Gold, Bernhard Hemmer, Felix Luessi, Sandra Nischwitz, Friedemann Paul, Heinz Wiendl, Christian Gieger, Stefanie Heilmann-Heimbach, Tim Kacprowski, Matthias Laudes, Thomas Meitinger, Annette Peters, Rajesh Rawal, Konstantin Strauch, Susanne Lucae, Bertram Müller-Myhsok, Marcella Rietschel, Fabian J. Theis, Elisabeth B. Binder, Nikola S. Müller
DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning. PLoS Comput. Biol. 16 (2) (2020)
Meshal Ansari, David S. Fischer, Fabian J. Theis
Learning Tn5 Sequence Bias from ATAC-seq on Naked Chromatin. ICANN (1) (2020)
Elba Raimúndez-Álvarez, Simone Keller, Gwen Zwingenberger, Karolin Ebert, Sabine Hug, Fabian J. Theis, Dieter Maier, Birgit Luber, Jan Hasenauer
Model-based analysis of response and resistance factors of cetuximab treatment in gastric cancer cell lines. PLoS Comput. Biol. 16 (3) (2020)
Mohammad Lotfollahi, Mohsen Naghipourfar, Fabian J. Theis, F. Alexander Wolf
Conditional out-of-sample generation for unpaired data using trVAE. CoRR (2019)
David Laehnemann, Johannes Köster, Ewa Szczurek, Davis J. McCarthy, Stephanie C. Hicks, Mark D. Robinson, Catalina A. Vallejos, Niko Beerenwinkel, Kieran R. Campbell, Ahmed Mahfouz, Luca Pinello, Pavel Skums, Alexandros Stamatakis, Camille Stephan-Otto Attolini, Samuel Aparicio, Jasmijn A. Baaijens, Marleen Balvert, Buys de Barbanson, Antonio Cappuccio, Giacomo Corleone, Bas E. Dutilh, Maria Florescu, Victor Guryev, Rens Holmer, Katharina Jahn, Thamar Jessurun Lobo, Emma M. Keizer, Indu Khatri, Szymon M. Kielbasa, Jan O. Korbel, Alexey M. Kozlov, Tzu-Hao Kuo, Boudewijn P. F. Lelieveldt, Ion I. Mandoiu, John C. Marioni, Tobias Marschall, Felix Mölder, Amir Niknejad, Lukasz Raczkowski, Marcel J. T. Reinders, Jeroen de Ridder, Antoine-Emmanuel Saliba, Antonios Somarakis, Oliver Stegle, Fabian J. Theis, Huan Yang, Alex Zelikovsky, Alice C. McHardy, Benjamin J. Raphael, Sohrab P. Shah, Alexander Schönhuth
12 Grand Challenges in Single-Cell Data Science. PeerJ Prepr. 7 (2019)
Justin Feigelman, Daniel Weindl, Fabian J. Theis, Carsten Marr, Jan Hasenauer
LNA++: Linear Noise Approximation with First and Second Order Sensitivities. CMSB (2018)
Benjamin Ballnus, Steffen Schaper, Fabian J. Theis, Jan Hasenauer
Bayesian parameter estimation for biochemical reaction networks using region-based adaptive parallel tempering. Bioinform. 34 (13) (2018)
Simon Dirmeier, Christiane Fuchs, Nikola S. Müller, Fabian J. Theis
netReg: network-regularized linear models for biological association studies. Bioinform. 34 (5) (2018)
Fabian Fröhlich, Fabian J. Theis, Joachim O. Rädler, Jan Hasenauer
Parameter estimation for dynamical systems with discrete events and logical operations. Bioinform. 33 (7) (2017)
Sophie Molnos, Clemens Baumbach, Simone Wahl, Martina Müller-Nurasyid, Konstantin Strauch, Rui Wang-Sattler, Melanie Waldenberger, Thomas Meitinger, Jerzy Adamski, Gabi Kastenmüller, Karsten Suhre, Annette Peters, Harald Grallert, Fabian J. Theis, Christian Gieger
pulver: an R package for parallel ultra-rapid p-value computation for linear regression interaction terms. BMC Bioinform. 18 (1) (2017)
Benjamin Ballnus, Sabine Hug, Kathrin Hatz, Linus Görlitz, Jan Hasenauer, Fabian J. Theis
Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems. BMC Syst. Biol. 11 (1) (2017)
Oliver Hilsenbeck, Michael Schwarzfischer, Dirk Loeffler, Sotiris Dimopoulos, Simon Hastreiter, Carsten Marr, Fabian J. Theis, Timm Schroeder
fastER: a user-friendly tool for ultrafast and robust cell segmentation in large-scale microscopy. Bioinform. 33 (13) (2017)
Atefeh Kazeroonian, Fabian J. Theis, Jan Hasenauer
A scalable moment-closure approximation for large-scale biochemical reaction networks. Bioinform. 33 (14) (2017)
Fabian Fröhlich, Barbara Kaltenbacher, Fabian J. Theis, Jan Hasenauer
Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks. PLoS Comput. Biol. 13 (1) (2017)
Norbert Krautenbacher, Fabian J. Theis, Christiane Fuchs
Correcting Classifiers for Sample Selection Bias in Two-Phase Case-Control Studies. Comput. Math. Methods Medicine 2017 (2017)
Nikolaos-Kosmas Chlis, F. Alexander Wolf, Fabian J. Theis
Model-based branching point detection in single-cell data by K-branches clustering. Bioinform. 33 (20) (2017)
Gerda Bortsova, Michael Sterr, Lichao Wang, Fausto Milletari, Nassir Navab, Anika Böttcher, Heiko Lickert, Fabian J. Theis, Tingying Peng
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields. MLMI@MICCAI (2016)
Anna Fiedler, Sebastian Raeth, Fabian J. Theis, Angelika Hausser, Jan Hasenauer
Tailored parameter optimization methods for ordinary differential equation models with steady-state constraints. BMC Syst. Biol. 10 (2016)
Fabian Fröhlich, Philipp Thomas, Atefeh Kazeroonian, Fabian J. Theis, Ramon Grima, Jan Hasenauer
Inference for Stochastic Chemical Kinetics Using Moment Equations and System Size Expansion. PLoS Comput. Biol. 12 (7) (2016)
Eva-Maria Geissen, Jan Hasenauer, Stephanie Heinrich, Silke Hauf, Fabian J. Theis, Nicole Radde
MEMO: multi-experiment mixture model analysis of censored data. Bioinform. 32 (16) (2016)
Sabine Hug, Michael Schwarzfischer, Jan Hasenauer, Carsten Marr, Fabian J. Theis
An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson's rule. Stat. Comput. 26 (3) (2016)
Gerda Bortsova, Michael Sterr, Lichao Wang, Fausto Milletari, Nassir Navab, Anika Böttcher, Heiko Lickert, Fabian J. Theis, Tingying Peng
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields. CoRR (2016)
Philipp Angerer, Laleh Haghverdi, Maren Büttner, Fabian J. Theis, Carsten Marr, Florian A. Büttner
: diffusion maps for large-scale single-cell data in R. Bioinform. 32 (8) (2016)
Michael Laimighofer, Jan Krumsiek, Florian A. Büttner, Fabian J. Theis
Unbiased Prediction and Feature Selection in High-Dimensional Survival Regression. J. Comput. Biol. 23 (4) (2016)
Steffen Sass, Florian Buettner, Nikola S. Müller, Fabian J. Theis
RAMONA: a Web application for gene set analysis on multilevel omics data. Bioinform. 31 (1) (2015)
Katrin Illner, Jari Miettinen, Christiane Fuchs, Sara Taskinen, Klaus Nordhausen, Hannu Oja, Fabian J. Theis
Model selection using limiting distributions of second-order blind source separation algorithms. Signal Process. 113 (2015)
Pauliina Ilmonen, Klaus Nordhausen, Hannu Oja, Fabian J. Theis
An Affine Equivariant Robust Second-Order BSS Method. LVA/ICA (2015)
Carolin Loos, Carsten Marr, Fabian J. Theis, Jan Hasenauer
Approximate Bayesian Computation for Stochastic Single-Cell Time-Lapse Data Using Multivariate Test Statistics. CMSB (2015)
Andrea Ocone, Laleh Haghverdi, Nikola S. Müller, Fabian J. Theis
Reconstructing gene regulatory dynamics from high-dimensional single-cell snapshot data. Bioinform. 31 (12) (2015)
Andreas Raue, Bernhard Steiert, Max Schelker, Clemens Kreutz, Tim Maiwald, Helge Hass, Joep Vanlier, Christian Tönsing, Lorenz Adlung, Raphael Engesser, Wolfgang Mader, Tim Heinemann, Jan Hasenauer, Marcel Schilling, Thomas Höfer, Edda Klipp, Fabian J. Theis, Ursula Klingmüller, Birgit Schoeberl, Jens Timmer
Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems. Bioinform. 31 (21) (2015)
Laleh Haghverdi, Florian Buettner, Fabian J. Theis
Diffusion maps for high-dimensional single-cell analysis of differentiation data. Bioinform. 31 (18) (2015)
Lichao Wang, Vasileios Belagiannis, Carsten Marr, Fabian J. Theis, Guang-Zhong Yang, Nassir Navab
Anatomic-landmark detection using graphical context modelling. ISBI (2015)
Michael K. Strasser, Justin Feigelman, Fabian J. Theis, Carsten Marr
Inference of spatiotemporal effects on cellular state transitions from time-lapse microscopy. BMC Syst. Biol. 9 (2015)
Valeriy Khakhutskyy, Michael Schwarzfischer, Nina C. Hubig, Claudia Plant, Carsten Marr, Michael A. Rieger, Timm Schroeder, Fabian J. Theis
Centroid Clustering of Cellular Lineage Trees. ITBAM (2014)
Michaela Matthes, Martin Preusse, Jingzhong Zhang, Julia Schechter, Daniela Mayer, Bernd Lentes, Fabian J. Theis, Nilima Prakash, Wolfgang Wurst, Dietrich Trümbach
Mouse IDGenes: a reference database for genetic interactions in the developing mouse brain. Database J. Biol. Databases Curation 2014 (2014)
Florian Buettner, Victoria Moignard, Berthold Göttgens, Fabian J. Theis
Probabilistic PCA of censored data: accounting for uncertainties in the visualization of high-throughput single-cell qPCR data. Bioinform. 30 (13) (2014)
Jan Hasenauer, Christine Hasenauer, Tim Hucho, Fabian J. Theis
ODE Constrained Mixture Modelling: A Method for Unraveling Subpopulation Structures and Dynamics. PLoS Comput. Biol. 10 (7) (2014)
Katrin Illner, Christiane Fuchs, Fabian J. Theis
Bayesian Blind Source Separation for Data with Network Structure. J. Comput. Biol. 21 (11) (2014)
Justin Feigelman, Fabian J. Theis, Carsten Marr
MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data. CoRR (2014)
Fabian Fröhlich, Sabrina Hross, Fabian J. Theis, Jan Hasenauer
Radial Basis Function Approximations of Bayesian Parameter Posterior Densities for Uncertainty Analysis. CMSB (2014)
Fabian Fröhlich, Fabian J. Theis, Jan Hasenauer
Uncertainty Analysis for Non-identifiable Dynamical Systems: Profile Likelihoods, Bootstrapping and More. CMSB (2014)
Justin Feigelman, Fabian J. Theis, Carsten Marr
MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data. BMC Bioinform. 15 (2014)
Ercan E. Kuruoglu, Fabian J. Theis
Dependent component analysis. EURASIP J. Adv. Signal Process. 2013 (2013)
Corinna Vehlow, Jan Hasenauer, Andrei Kramer, Andreas Raue, Sabine Hug, Jens Timmer, Nicole Radde, Fabian J. Theis, Daniel Weiskopf
iVUN: interactive Visualization of Uncertain biochemical reaction Networks. BMC Bioinform. 14 (S-19) (2013)
Sabrina Hock, Jan Hasenauer, Fabian J. Theis
Modeling of 2D diffusion processes based on microscopy data: parameter estimation and practical identifiability analysis. BMC Bioinform. 14 (S-10) (2013)
Felix Buggenthin, Carsten Marr, Michael Schwarzfischer, Philipp S. Hoppe, Oliver Hilsenbeck, Timm Schroeder, Fabian J. Theis
An automatic method for robust and fast cell detection in bright field images from high-throughput microscopy. BMC Bioinform. 14 (2013)
Sabrina Hock, Yen-Kar Ng, Jan Hasenauer, Dominik M. Wittmann, Dominik Lutter, Dietrich Trümbach, Wolfgang Wurst, Nilima Prakash, Fabian J. Theis
Sharpening of expression domains induced by transcription and microRNA regulation within a spatio-temporal model of mid-hindbrain boundary formation. BMC Syst. Biol. 7 (2013)
Corinna Vehlow, Jan Hasenauer, Fabian J. Theis, Daniel Weiskopf
Visualizing edge-edge relations in graphs. PacificVis (2013)
Dominik M. Wittmann, Sabrina Hock, Fabian J. Theis
Truth-Content and Phase Transitions of Random Boolean Networks with Generic Logics. SIAM J. Appl. Dyn. Syst. 12 (1) (2013)
Claudia Plant, Son Thai Mai, Junming Shao, Fabian J. Theis, Anke Meyer-Baese, Christian Böhm
Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms. Adv. Artif. Neural Syst. 2012 (2012)
Florian Buettner, Fabian J. Theis
A novel approach for resolving differences in single-cell gene expression patterns from zygote to blastocyst. Bioinform. 28 (18) (2012)
Fabian J. Theis
Bayesian Fuzzy Clustering of Colored Graphs. LVA/ICA (2012)
Harold W. Gutch, Fabian J. Theis
Uniqueness of linear factorizations into independent subspaces. J. Multivar. Anal. 112 (2012)
Sabine Hug, Fabian J. Theis
Bayesian Inference of Latent Causes in Gene Regulatory Dynamics. LVA/ICA (2012)
Ann-Kristin Petersen, Jan Krumsiek, Brigitte Wägele, Fabian J. Theis, Heinz-Erich Wichmann, Christian Gieger, Karsten Suhre
On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies. BMC Bioinform. 13 (2012)
Emmanuel Vincent, Shoko Araki, Fabian J. Theis, Guido Nolte, Pau Bofill, Hiroshi Sawada, Alexey Ozerov, Vikrham Gowreesunker, Dominik Lutter, Ngoc Q. K. Duong
The signal separation evaluation campaign (2007-2010): Achievements and remaining challenges. Signal Process. 92 (8) (2012)
Harold W. Gutch, Peter Gruber, Arie Yeredor, Fabian J. Theis
ICA over finite fields - Separability and algorithms. Signal Process. 92 (8) (2012)
Klaus Nordhausen, Harold W. Gutch, Hannu Oja, Fabian J. Theis
Joint Diagonalization of Several Scatter Matrices for ICA. LVA/ICA (2012)
Daniel Schmidl, Sabine Hug, Wei Li, Matthias B. Greiter, Fabian J. Theis
Bayesian model selection validates a biokinetic model for zirconium processing in humans. BMC Syst. Biol. 6 (2012)
Harold W. Gutch, Fabian J. Theis
To Infinity and Beyond: On ICA over Hilbert Spaces. LVA/ICA (2012)
Daniel Grady, Rafael Brune, Christian Thiemann, Fabian J. Theis, Dirk Brockmann
Modularity maximization and tree clustering: Novel ways to determine effective geographic borders CoRR (2011)
Harold W. Gutch, Jan Krumsiek, Fabian J. Theis
An ISA algorithm with unknown group sizes identifies meaningful clusters in metabolomics data. EUSIPCO (2011)
Steffen Sass, Sabine Dietmann, Ulrike C. Burk, Simone Brabletz, Dominik Lutter, Andreas Kowarsch, Klaus F. X. Mayer, Thomas Brabletz, Andreas Ruepp, Fabian J. Theis, Yu Wang
MicroRNAs coordinately regulate protein complexes. BMC Syst. Biol. 5 (2011)
Hans-Werner Mewes, Andreas Ruepp, Fabian J. Theis, Thomas Rattei, Mathias C. Walter, Dmitrij Frishman, Karsten Suhre, Manuel Spannagl, Klaus F. X. Mayer, Volker Stümpflen, Alexey V. Antonov
MIPS: curated databases and comprehensive secondary data resources in 2010. Nucleic Acids Res. 39 (Database-Issue) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fabian J. Theis