Holger Fröhlich

ORCID

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 22

Top Venues

Eberhard Karls University of Tübingen (PHD)

Education History

Eberhard Karls University of Tübingen

PHD

Publications

Manuel Lentzen, Thomas Linden, Sai Veeranki, Sumit Madan, Diether Kramer, Werner Leodolter, Holger Fröhlich
A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression. IEEE J. Biomed. Health Informatics 27 (9) (2023)
Lisa Kühnel, Julian Schneider, Ines Perrar, Tim Adams, Fabian Prasser, Ute Nöthlings, Holger Fröhlich, Juliane Fluck
Synthetic data generation for a longitudinal cohort study - Evaluation, method extension and reproduction of published data analysis results. CoRR (2023)
Sophia Krix, Ella Wilczynski, Neus Falgàs, Raquel Sánchez-Valle, Eti Yoles, Uri Nevo, Kuti Baruch, Holger Fröhlich
Towards early diagnosis of Alzheimer's disease: Advances in immune-related blood biomarkers and computational modeling approaches. CoRR (2023)
Tamara Raschka, Meemansa Sood, Bruce Schultz, Aybuge Altay, Christian Ebeling, Holger Fröhlich
AI reveals insights into link between CD33 and cognitive impairment in Alzheimer's Disease. PLoS Comput. Biol. 19 (2) (2023)
Ozlem Muslu, Charles Tapley Hoyt, Mauricio Lacerda, Martin Hofmann-Apitius, Holger Fröhlich
GuiltyTargets: Prioritization of Novel Therapeutic Targets With Network Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Philipp Wendland, Colin Birkenbihl, Marc Gomez-Freixa, Meemansa Sood, Maik Kschischo, Holger Fröhlich
Generation of realistic synthetic data using Multimodal Neural Ordinary Differential Equations. npj Digit. Medicine 5 (2022)
Sumit Madan, Fabian Julius Zimmer, Helena Balabin, Sebastian Schaaf, Holger Fröhlich, Juliane Fluck, Irene Neuner, Klaus Mathiak, Martin Hofmann-Apitius, Pegah Sarkheil
Deep Learning-based detection of psychiatric attributes from German mental health records. Int. J. Medical Informatics 161 (2022)
Ramón Díaz-Uriarte, Elisa Gómez de Lope, Rosalba Giugno, Holger Fröhlich, Petr V. Nazarov, Isabel A. Nepomuceno-Chamorro, Armin Rauschenberger, Enrico Glaab
Ten quick tips for biomarker discovery and validation analyses using machine learning. PLoS Comput. Biol. 18 (8) (2022)
Sumit Madan, Victoria Demina, Marcus Stapf, Oliver Ernst, Holger Fröhlich
Accurate prediction of virus-host protein-protein interactions via a Siamese neural network using deep protein sequence embeddings. Patterns 3 (9) (2022)
Thomas Linden, Johann de Jong, Chao Lu, Victor Kiri, Kathrin Haeffs, Holger Fröhlich
An Explainable Multimodal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data. Frontiers Artif. Intell. 4 (2021)
Tobias Newmiwaka, Benjamin Engelhardt, Philipp Wendland, Dominik Kahl, Holger Fröhlich, Maik Kschischo
SEEDS: data driven inference of structural model errors and unknown inputs for dynamic systems biology. Bioinform. 37 (9) (2021)
Luise Gootjes-Dreesbach, Meemansa Sood, Akrishta Sahay, Martin Hofmann-Apitius, Holger Fröhlich
Variational Autoencoder Modular Bayesian Networks for Simulation of Heterogeneous Clinical Study Data. Frontiers Big Data 3 (2020)
Amina Lemsara, Salima Ouadfel, Holger Fröhlich
PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data. BMC Bioinform. 21 (1) (2020)
Gloria I. Valderrama-Bahamóndez, Holger Fröhlich
MCMC Techniques for Parameter Estimation of ODE Based Models in Systems Biology. Frontiers Appl. Math. Stat. 5 (2019)
Holger Fröhlich, Kasper Claes, Catherine De Wolf, Xavier Van Damme, Anne Michel
A Machine Learning Approach to Automated Gait Analysis for the Noldus Catwalk System. IEEE Trans. Biomed. Eng. 65 (5) (2018)
Ashar Ahmad, Holger Fröhlich
Towards clinically more relevant dissection of patient heterogeneity via survival-based Bayesian clustering. Bioinform. 33 (22) (2017)
Niko Beerenwinkel, Holger Fröhlich, Susan A. Murphy
Addressing the Computational Challenges of Personalized Medicine (Dagstuhl Seminar 17472). Dagstuhl Reports 7 (11) (2017)
Martin Pirkl, Madeline Diekmann, Marlies van der Wees, Niko Beerenwinkel, Holger Fröhlich, Florian Markowetz
Inferring modulators of genetic interactions with epistatic nested effects models. PLoS Comput. Biol. 13 (4) (2017)
Satya Swarup Samal, Ovidiu Radulescu, Andreas Weber, Holger Fröhlich
Linking metabolic network features to phenotypes using sparse group lasso. Bioinform. 33 (21) (2017)
Juliane Siebourg-Polster, Daria Mudrak, Mario Emmenlauer, Pauli Rämö, Christoph Dehio, Urs Greber, Holger Fröhlich, Niko Beerenwinkel
NEMix: Single-cell Nested Effects Models for Probabilistic Pathway Stimulation. PLoS Comput. Biol. 11 (4) (2015)
Holger Fröhlich
biRte: Bayesian inference of context-specific regulator activities and transcriptional networks. Bioinform. 31 (20) (2015)
Satya Swarup Samal, Dima Grigoriev, Holger Fröhlich, Ovidiu Radulescu
Analysis of Reaction Network Systems Using Tropical Geometry. CASC (2015)
Yupeng Cun, Holger Fröhlich
netClass: an R-package for network based, integrative biomarker signature discovery. Bioinform. 30 (9) (2014)
Khalid Abnaof, Nikhil Mallela, Gudrun Walenda, Steffen Meurer, Kristin Seré, Qiong Lin, Bert Smeets, Kurt Hoffmann, Wolfgang Wagner, Martin Zenke, Ralf Weiskirchen, Holger Fröhlich
TGF-beta stimulation in human and murine cells reveals commonly affected biological processes and pathways at transcription level. BMC Syst. Biol. 8 (2014)
Henrik Failmezger, Paurush Praveen, Achim Tresch, Holger Fröhlich
Learning gene network structure from time laps cell imaging in RNAi Knock downs. Bioinform. 29 (12) (2013)
Holger Fröhlich, Gunnar W. Klau
Reconstructing Consensus Bayesian Network Structures with Application to Learning Molecular Interaction Networks. GCB (2013)
Henrik Failmezger, Holger Fröhlich, Achim Tresch
Unsupervised automated high throughput phenotyping of RNAi time-lapse movies. BMC Bioinform. 14 (2013)
Mohsen Ahmadi, Martin Vogt, Preeti Iyer, Jürgen Bajorath, Holger Fröhlich
Predicting Potent Compounds via Model-Based Global Optimization. J. Chem. Inf. Model. 53 (3) (2013)
Afshin Sadeghi, Holger Fröhlich
Steiner tree methods for optimal sub-network identification: an empirical study. BMC Bioinform. 14 (2013)
Francesco Pappalardo, Vladimir Brusic, Holger Fröhlich
Immune System Modeling and Related Pathologies. Comput. Math. Methods Medicine 2012 (2012)
Theresa Niederberger, Stefanie Etzold, Michael Lidschreiber, Kerstin C. Maier, Dietmar E. Martin, Holger Fröhlich, Patrick Cramer, Achim Tresch
MC EMiNEM Maps the Interaction Landscape of the Mediator. PLoS Comput. Biol. 8 (6) (2012)
Benedikt Zacher, Khalid Abnaof, Stephan Gade, Erfan Younesi, Achim Tresch, Holger Fröhlich
Joint Bayesian inference of condition-specific miRNA and transcription factor activities from combined gene and microRNA expression data. Bioinform. 28 (13) (2012)
Yupeng Cun, Holger Fröhlich
Prognostic gene signatures for patient stratification in breast cancer - accuracy, stability and interpretability of gene selection approaches using prior knowledge on protein-protein interactions. BMC Bioinform. 13 (2012)
Marc Johannes, Holger Fröhlich, Holger Sültmann, Tim Beißbarth
pathClass: an R-package for integration of pathway knowledge into support vector machines for biomarker discovery. Bioinform. 27 (10) (2011)
Holger Fröhlich, Paurush Praveen, Achim Tresch
Fast and efficient dynamic nested effects models. Bioinform. 27 (2) (2011)
Marc Johannes, Jan C. Brase, Holger Fröhlich, Stephan Gade, Mathias C. Gehrmann, Maria Fälth, Holger Sültmann, Tim Beißbarth
Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients. Bioinform. 26 (17) (2010)
Christian Bender, Frauke Henjes, Holger Fröhlich, Stefan Wiemann, Ulrike Korf, Tim Beißbarth
Dynamic deterministic effects propagation networks: learning signalling pathways from longitudinal protein array data. Bioinform. 26 (18) (2010)
Holger Fröhlich, Özgür Sahin, Dorit Arlt, Christian Bender, Tim Beißbarth
Deterministic Effects Propagation Networks for reconstructing protein signaling networks from multiple interventions. BMC Bioinform. 10 (2009)
Cordula Zeller, Holger Fröhlich, Achim Tresch
A Bayesian Network View on Nested Effects Models. EURASIP J. Bioinform. Syst. Biol. 2009 (2009)
Özgür Sahin, Holger Fröhlich, Christian Löbke, Ulrike Korf, Sara Burmester, Meher Majety, Jens Mattern, Ingo Schupp, Claudine Chaouiya, Denis Thieffry, Annemarie Poustka, Stefan Wiemann, Tim Beißbarth, Dorit Arlt
Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance. BMC Syst. Biol. 3 (2009)
Holger Fröhlich, Mark Fellmann, Holger Sültmann, Annemarie Poustka, Tim Beißbarth
Predicting pathway membership via domain signatures. Bioinform. 24 (19) (2008)
Holger Fröhlich, Andreas Hoenselaar, Jonas Eichner, Holger Rosenbrock, Gerald Birk, Andreas Zell
Automated classification of the behavior of rats in the forced swimming test with support vector machines. Neural Networks 21 (1) (2008)
Holger Fröhlich, Mark Fellmann, Holger Sültmann, Annemarie Poustka, Tim Beißbarth
Estimating large-scale signaling networks through nested effect models with intervention effects from microarray data. Bioinform. 24 (22) (2008)
Holger Fröhlich, Tim Beißbarth, Achim Tresch, Dennis Kostka, Juby Jacob, Rainer Spang, Florian Markowetz
Analyzing gene perturbation screens with nested effects models in R and bioconductor. Bioinform. 24 (21) (2008)
Holger Fröhlich, Mark Fellmann, Holger Sültmann, Annemarie Poustka, Tim Beißbarth
Estimating Large Scale Scale Signaling Networks through Nested Effects Models from Intervention Effects in Microarray Data. German Conference on Bioinformatics (2007)
Holger Fröhlich, Mark Fellmann, Holger Sültmann, Annemarie Poustka, Tim Beißbarth
Large scale statistical inference of signaling pathways from RNAi and microarray data. BMC Bioinform. 8 (2007)
Jochen Supper, Holger Fröhlich, Christian Spieth, Andreas Dräger, Andreas Zell
Inferring Gene Regulatory Networks by Machine Learning Methods. APBC (2007)
Holger Fröhlich, Nora Speer, Annemarie Poustka, Tim Beißbarth
GOSim - an R-package for computation of information theoretic GO similarities between terms and gene products. BMC Bioinform. 8 (2007)
Jochen Supper, Holger Fröhlich, Andreas Zell
Gene Regulatory Network Inference via Regression Based Topological Refinement. APBC (2007)
Holger Fröhlich, Nora Speer, Christian Spieth, Andreas Zell
Kernel Based Functional Gene Grouping. IJCNN (2006)
Christian Weiss, Holger Fröhlich, Andreas Zell
Vibration-based Terrain Classification Using Support Vector Machines. IROS (2006)
Holger Fröhlich, Jörg K. Wegner, Florian Sieker, Andreas Zell
Optimal assignment kernels for attributed molecular graphs. ICML (2005)
Nora Speer, Holger Fröhlich, Christian Spieth, Andreas Zell
Functional Distances for Genes Based on GO Feature Maps and their Application to Clustering. CIBCB (2005)
Jörg K. Wegner, Holger Fröhlich, Andreas Zell
Feature Selection for Descriptor Based Classification Models. 1. Theory and GA-SEC Algorithm. J. Chem. Inf. Model. 44 (3) (2004)
Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf
Feature Selection for Support Vector Machines Using Genetic Algorithms. Int. J. Artif. Intell. Tools 13 (4) (2004)
Achim J. Lilienthal, Andreas Zell, Holger Ulmer, Holger Fröhlich, Andreas Stützle, Felix Werner
Gas Source Declaration with a Mobile Robot. ICRA (2004)
Achim J. Lilienthal, Holger Ulmer, Holger Fröhlich, Felix Werner, Andreas Zell
Learning to detect proximity to a gas source with a mobile robot. IROS (2004)
Jörg K. Wegner, Holger Fröhlich, Andreas Zell
Feature Selection for Descriptor Based Classification Models. 2. Human Intestinal Absorption (HIA). J. Chem. Inf. Model. 44 (3) (2004)
Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf
Feature Selection for Support Vector Machines by Means of Genetic Algorithms. ICTAI (2003)

Holger Fröhlich.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Holger Fröhlich