Feature Selection for Support Vector Machines by Means of Genetic Algorithms. - Holger Fröhlich; Olivier Chapelle; Bernhard Schölkopf (ICTAI, 2003)

Gas Source Declaration with a Mobile Robot. - Achim J. Lilienthal; Andreas Zell; Holger Ulmer; Holger Fröhlich; Andreas Stützle; Felix Werner (ICRA, 2004)

Feature subset selection for support vector machines by incremental regularized risk minimization. - Holger Fröhlich; Andreas Zell (IJCNN, 2004)

Learning to detect proximity to a gas source with a mobile robot. - Achim J. Lilienthal; Holger Ulmer; Holger Fröhlich; Felix Werner; Andreas Zell (IROS, 2004)

Feature Selection for Support Vector Machines Using Genetic Algorithms. - Holger Fröhlich; Olivier Chapelle; Bernhard Schölkopf (Int. J. Artif. Intell. Tools, 2004)

Feature Selection for Descriptor Based Classification Models. 1. Theory and GA-SEC Algorithm. - Jörg K. Wegner; Holger Fröhlich; Andreas Zell (J. Chem. Inf. Model., 2004)

Feature Selection for Descriptor Based Classification Models. 2. Human Intestinal Absorption (HIA). - Jörg K. Wegner; Holger Fröhlich; Andreas Zell (J. Chem. Inf. Model., 2004)

Functional Distances for Genes Based on GO Feature Maps and their Application to Clustering. - Nora Speer; Holger Fröhlich; Christian Spieth; Andreas Zell (CIBCB, 2005)

Optimal assignment kernels for attributed molecular graphs. - Holger Fröhlich; Jörg K. Wegner; Florian Sieker; Andreas Zell (ICML, 2005)

Which features trigger action potentials in cortical neurons in vivo? - Holger Fröhlich; Björn Naundorf; Maxim Volgushev; Fred Wolf 002 (IJCNN, 2005)

Assignment kernels for chemical compounds. - Holger Fröhlich; Jörg K. Wegner; Andreas Zell (IJCNN, 2005)

Efficient parameter selection for support vector machines in classification and regression via model-based global optimization. - Holger Fröhlich; Andreas Zell (IJCNN, 2005)

Functional grouping of genes using spectral clustering and Gene Ontology. - Nora Speer; Holger Fröhlich; Christian Spieth; Andreas Zell (IJCNN, 2005)

Kernel Based Functional Gene Grouping. - Holger Fröhlich; Nora Speer; Christian Spieth; Andreas Zell (IJCNN, 2006)

Vibration-based Terrain Classification Using Support Vector Machines. - Christian Weiss; Holger Fröhlich; Andreas Zell (IROS, 2006)

Kernel methods in chemo- and bioinformatics. - Holger Fröhlich (2006)

Inferring Gene Regulatory Networks by Machine Learning Methods. - Jochen Supper; Holger Fröhlich; Christian Spieth; Andreas Dräger; Andreas Zell (APBC, 2007)

Gene Regulatory Network Inference via Regression Based Topological Refinement. - Jochen Supper; Holger Fröhlich; Andreas Zell (APBC, 2007)

Estimating Large Scale Scale Signaling Networks through Nested Effects Models from Intervention Effects in Microarray Data. - Holger Fröhlich; Mark Fellmann; Holger Sültmann; Annemarie Poustka; Tim Beißbarth (German Conference on Bioinformatics, 2007)

Large scale statistical inference of signaling pathways from RNAi and microarray data. - Holger Fröhlich; Mark Fellmann; Holger Sültmann; Annemarie Poustka; Tim Beißbarth (BMC Bioinform., 2007)

GOSim - an R-package for computation of information theoretic GO similarities between terms and gene products. - Holger Fröhlich; Nora Speer; Annemarie Poustka; Tim Beißbarth (BMC Bioinform., 2007)

Analyzing gene perturbation screens with nested effects models in R and bioconductor. - Holger Fröhlich; Tim Beißbarth; Achim Tresch; Dennis Kostka; Juby Jacob; Rainer Spang; Florian Markowetz (Bioinform., 2008)

Predicting pathway membership via domain signatures. - Holger Fröhlich; Mark Fellmann; Holger Sültmann; Annemarie Poustka; Tim Beißbarth (Bioinform., 2008)

Estimating large-scale signaling networks through nested effect models with intervention effects from microarray data. - Holger Fröhlich; Mark Fellmann; Holger Sültmann; Annemarie Poustka; Tim Beißbarth (Bioinform., 2008)

Automated classification of the behavior of rats in the forced swimming test with support vector machines. - Holger Fröhlich; Andreas Hoenselaar; Jonas Eichner; Holger Rosenbrock; Gerald Birk; Andreas Zell (Neural Networks, 2008)

Deterministic Effects Propagation Networks for reconstructing protein signaling networks from multiple interventions. - Holger Fröhlich; Özgür Sahin; Dorit Arlt; Christian Bender; Tim Beißbarth (BMC Bioinform., 2009)

Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance. - Özgür Sahin; Holger Fröhlich; Christian Löbke; Ulrike Korf; Sara Burmester; Meher Majety; Jens Mattern; Ingo Schupp; Claudine Chaouiya; Denis Thieffry; Annemarie Poustka; Stefan Wiemann; et al. (BMC Syst. Biol., 2009)

A Bayesian Network View on Nested Effects Models. - Cordula Zeller; Holger Fröhlich; Achim Tresch (EURASIP J. Bioinform. Syst. Biol., 2009)

Dynamic deterministic effects propagation networks: learning signalling pathways from longitudinal protein array data. - Christian Bender; Frauke Henjes; Holger Fröhlich; Stefan Wiemann; Ulrike Korf; Tim Beißbarth (Bioinform., 2010)

Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients. - Marc Johannes; Jan C. Brase; Holger Fröhlich; Stephan Gade; Mathias C. Gehrmann; Maria Fälth; Holger Sültmann; Tim Beißbarth (Bioinform., 2010)

Fast and efficient dynamic nested effects models. - Holger Fröhlich; Paurush Praveen; Achim Tresch (Bioinform., 2011)

pathClass: an R-package for integration of pathway knowledge into support vector machines for biomarker discovery. - Marc Johannes; Holger Fröhlich; Holger Sültmann; Tim Beißbarth (Bioinform., 2011)

Joint Bayesian inference of condition-specific miRNA and transcription factor activities from combined gene and microRNA expression data. - Benedikt Zacher; Khalid Abnaof; Stephan Gade; Erfan Younesi; Achim Tresch; Holger Fröhlich (Bioinform., 2012)

Prognostic gene signatures for patient stratification in breast cancer - accuracy, stability and interpretability of gene selection approaches using prior knowledge on protein-protein interactions. - Yupeng Cun; Holger Fröhlich (BMC Bioinform., 2012)

Immune System Modeling and Related Pathologies. - Francesco Pappalardo 001; Vladimir Brusic; Holger Fröhlich (Comput. Math. Methods Medicine, 2012)

MC EMiNEM Maps the Interaction Landscape of the Mediator. - Theresa Niederberger; Stefanie Etzold; Michael Lidschreiber; Kerstin C. Maier; Dietmar E. Martin; Holger Fröhlich; Patrick Cramer; Achim Tresch (PLoS Comput. Biol., 2012)

Reconstructing Consensus Bayesian Network Structures with Application to Learning Molecular Interaction Networks. - Holger Fröhlich; Gunnar W. Klau (GCB, 2013)

Learning gene network structure from time laps cell imaging in RNAi Knock downs. - Henrik Failmezger; Paurush Praveen; Achim Tresch; Holger Fröhlich (Bioinform., 2013)

Unsupervised automated high throughput phenotyping of RNAi time-lapse movies. - Henrik Failmezger; Holger Fröhlich; Achim Tresch (BMC Bioinform., 2013)

Steiner tree methods for optimal sub-network identification: an empirical study. - Afshin Sadeghi; Holger Fröhlich (BMC Bioinform., 2013)

Predicting Potent Compounds via Model-Based Global Optimization. - Mohsen Ahmadi; Martin Vogt 001; Preeti Iyer; Jürgen Bajorath; Holger Fröhlich (J. Chem. Inf. Model., 2013)

netClass: an R-package for network based, integrative biomarker signature discovery. - Yupeng Cun; Holger Fröhlich (Bioinform., 2014)

TGF-beta stimulation in human and murine cells reveals commonly affected biological processes and pathways at transcription level. - Khalid Abnaof; Nikhil Mallela; Gudrun Walenda; Steffen Meurer; Kristin Seré; Qiong Lin; Bert Smeets; Kurt Hoffmann; Wolfgang Wagner 003; Martin Zenke; Ralf Weiskirchen; Holger Fröhlich (BMC Syst. Biol., 2014)

Analysis of Reaction Network Systems Using Tropical Geometry. - Satya Swarup Samal; Dima Grigoriev; Holger Fröhlich; Ovidiu Radulescu (CASC, 2015)

biRte: Bayesian inference of context-specific regulator activities and transcriptional networks. - Holger Fröhlich (Bioinform., 2015)

NEMix: Single-cell Nested Effects Models for Probabilistic Pathway Stimulation. - Juliane Siebourg-Polster; Daria Mudrak; Mario Emmenlauer; Pauli Rämö; Christoph Dehio; Urs F. Greber; Holger Fröhlich; Niko Beerenwinkel (PLoS Comput. Biol., 2015)

Towards clinically more relevant dissection of patient heterogeneity via survival-based Bayesian clustering. - Ashar Ahmad; Holger Fröhlich (Bioinform., 2017)

Linking metabolic network features to phenotypes using sparse group lasso. - Satya Swarup Samal; Ovidiu Radulescu; Andreas Weber 004; Holger Fröhlich (Bioinform., 2017)

Addressing the Computational Challenges of Personalized Medicine (Dagstuhl Seminar 17472). - Niko Beerenwinkel; Holger Fröhlich; Susan A. Murphy (Dagstuhl Reports, 2017)

Inferring modulators of genetic interactions with epistatic nested effects models. - Martin Pirkl; Madeline Diekmann; Marlies van der Wees; Niko Beerenwinkel; Holger Fröhlich; Florian Markowetz (PLoS Comput. Biol., 2017)

A Machine Learning Approach to Automated Gait Analysis for the Noldus Catwalk System. - Holger Fröhlich; Kasper Claes; Catherine De Wolf; Xavier Van Damme; Anne Michel (IEEE Trans. Biomed. Eng., 2018)

MCMC Techniques for Parameter Estimation of ODE Based Models in Systems Biology. - Gloria I. Valderrama-Bahamóndez; Holger Fröhlich (Frontiers Appl. Math. Stat., 2019)

PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data. - Amina Lemsara; Salima Ouadfel; Holger Fröhlich (BMC Bioinform., 2020)

Variational Autoencoder Modular Bayesian Networks for Simulation of Heterogeneous Clinical Study Data. - Luise Gootjes-Dreesbach; Meemansa Sood; Akrishta Sahay; Martin Hofmann-Apitius; Holger Fröhlich (Frontiers Big Data, 2020)

SEEDS: data driven inference of structural model errors and unknown inputs for dynamic systems biology. - Tobias Newmiwaka; Benjamin Engelhardt; Philipp Wendland; Dominik Kahl; Holger Fröhlich; Maik Kschischo (Bioinform., 2021)

An Explainable Multimodal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data. - Thomas Linden; Johann de Jong; Chao Lu; Victor Kiri; Kathrin Haeffs; Holger Fröhlich (Frontiers Artif. Intell., 2021)

GenRisk: a tool for comprehensive genetic risk modeling. - Rana Aldisi; Emadeldin Hassanin; Sugirthan Sivalingam; Andreas Buness; Hannah Klinkhammer; Andreas Mayr; Holger Fröhlich; Peter M. Krawitz; Carlo Maj (Bioinform., 2022)

Deep Learning-based detection of psychiatric attributes from German mental health records. - Sumit Madan; Fabian Julius Zimmer; Helena Balabin; Sebastian Schaaf; Holger Fröhlich; Juliane Fluck; Irene Neuner; Klaus Mathiak; Martin Hofmann-Apitius; Pegah Sarkheil (Int. J. Medical Informatics, 2022)

Generation of realistic synthetic data using Multimodal Neural Ordinary Differential Equations. - Philipp Wendland; Colin Birkenbihl; Marc Gomez-Freixa; Meemansa Sood; Maik Kschischo; Holger Fröhlich (npj Digit. Medicine, 2022)

Accurate prediction of virus-host protein-protein interactions via a Siamese neural network using deep protein sequence embeddings. - Sumit Madan; Victoria Demina; Marcus Stapf; Oliver Ernst; Holger Fröhlich (Patterns, 2022)

Ten quick tips for biomarker discovery and validation analyses using machine learning. - Ramón Díaz-Uriarte; Elisa Gómez de Lope; Rosalba Giugno; Holger Fröhlich; Petr V. Nazarov; Isabel A. Nepomuceno-Chamorro; Armin Rauschenberger; Enrico Glaab (PLoS Comput. Biol., 2022)

GuiltyTargets: Prioritization of Novel Therapeutic Targets With Network Representation Learning. - Ozlem Muslu; Charles Tapley Hoyt; Mauricio Lacerda; Martin Hofmann-Apitius; Holger Fröhlich (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Synthetic data generation for a longitudinal cohort study - Evaluation, method extension and reproduction of published data analysis results. - Lisa Kühnel; Julian Schneider; Ines Perrar; Tim Adams; Fabian Prasser; Ute Nöthlings; Holger Fröhlich; Juliane Fluck (CoRR, 2023)

Towards early diagnosis of Alzheimer's disease: Advances in immune-related blood biomarkers and computational modeling approaches. - Sophia Krix; Ella Wilczynski; Neus Falgàs; Raquel Sánchez-Valle; Eti Yoles; Uri Nevo; Kuti Baruch; Holger Fröhlich (CoRR, 2023)

AI reveals insights into link between CD33 and cognitive impairment in Alzheimer's Disease. - Tamara Raschka; Meemansa Sood; Bruce Schultz; Aybuge Altay; Christian Ebeling; Holger Fröhlich (PLoS Comput. Biol., 2023)

A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression. - Manuel Lentzen; Thomas Linden; Sai Veeranki; Sumit Madan; Diether Kramer; Werner Leodolter; Holger Fröhlich (IEEE J. Biomed. Health Informatics, 2023)

NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management. - Sobhan Moazemi; Tim Adams; Hwei Geok Ng; Lisa Kühnel; Julian Schneider; Anatol-Fiete Näher; Juliane Fluck; Holger Fröhlich (GMDS, 2024)

Privacy Risk Assessment for Synthetic Longitudinal Health Data. - Julian Schneider; Marvin Walter; Karen Otte; Thierry Meurers; Ines Perrar; Ute Nöthlings; Tim Adams; Holger Fröhlich; Fabian Prasser; Juliane Fluck; Lisa Kühnel (GMDS, 2024)

INDEX: the Intelligent Data Steward Toolbox. Utilizing Large Language Model embeddings for automated data harmonization. - Tim Adams; Mohamed Aborageh; Yasamin Salimi; Holger Fröhlich; Marc Jacobs 001 (SWAT4HCLS, 2024)

Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease. - Cyril Brzenczek; Quentin Klopfenstein; Tom Hähnel; Holger Fröhlich; Enrico Glaab; Geeta Acharya; Gloria Aguayo; Myriam Alexandre; Muhammad Ali; Wim Ammerlann; Giuseppe Arena; Michele Bassis; et al. (npj Digit. Medicine, 2024)

Regulatory considerations for developing remote measurement technologies for Alzheimer's disease research. - Gül Erdemli; Margarita Grammatikopoulou; Bertil Wagner; Srinivasan Vairavan; Jelena Curcic; Dag Aarsland; Gayle Wittenberg; Spiros Nikolopoulos; Marijn Muurling; Holger Fröhlich; Casper de Boer; Niraj M. Shanbhag; et al. (npj Digit. Medicine, 2024)

Dataset of miRNA-disease relations extracted from textual data using transformer-based neural networks. - Sumit Madan; Lisa Kühnel; Holger Fröhlich; Martin Hofmann-Apitius; Juliane Fluck (Database J. Biol. Databases Curation, 2024)

Transformer models in biomedicine. - Sumit Madan; Manuel Lentzen; Johannes Brandt; Daniel Rueckert; Martin Hofmann-Apitius; Holger Fröhlich (BMC Medical Informatics Decis. Mak., 2024)

Design specifications for biomedical virtual twins in engineered adoptive cellular immunotherapies. - Ulrike Weirauch; Markus Kreuz; Colin Birkenbihl; Miriam Alb; Maria Quaranta; Laurence Calzone; Sophia Orozco-Ruiz; Stefanie Binder; Luise Fischer; Solène Clavreul; Morine Maguri; Maximilian Ferle; et al. (npj Digit. Medicine, 2025)

Improving Representation Learning of Complex Critical Care Data with ICU-BERT. - Ricardo Santos 006; André V. Carreiro; Xi Peng; Hugo Gamboa; Holger Fröhlich (CoRR, 2025)