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ORCIDHolger Fröhlich
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- affiliation: University of Bonn, Germany
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2020 – today
- 2024
[j46]Sumit Madan
, Lisa Kühnel, Holger Fröhlich, Martin Hofmann-Apitius, Juliane Fluck:
Dataset of miRNA-disease relations extracted from textual data using transformer-based neural networks. Database J. Biol. Databases Curation 2024 (2024)- [j45]Sumit Madan, Manuel Lentzen, Johannes Brandt, Daniel Rueckert, Martin Hofmann-Apitius, Holger Fröhlich:
Transformer models in biomedicine. BMC Medical Informatics Decis. Mak. 24(1): 214 (2024) - 2023
- [j44]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) - [j43]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): 4548-4558 (2023) - [i3]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 abs/2305.07685 (2023) - [i2]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 abs/2312.02248 (2023) - 2022
- [j42]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: 104724 (2022) - [j41]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) - [j40]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): 100551 (2022) - [j39]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) - [j38]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): 491-500 (2022) - 2021
- [j37]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): 1330-1331 (2021) - [j36]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: 610197 (2021) - 2020
- [j35]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): 146 (2020) - [j34]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: 16 (2020)
2010 – 2019
- 2019
- [j33]Gloria I. Valderrama-Bahamóndez, Holger Fröhlich:
MCMC Techniques for Parameter Estimation of ODE Based Models in Systems Biology. Frontiers Appl. Math. Stat. 5: 55 (2019) - 2018
- [j32]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): 1133-1139 (2018) - 2017
- [j31]Satya Swarup Samal, Ovidiu Radulescu, Andreas Weber, Holger Fröhlich:
Linking metabolic network features to phenotypes using sparse group lasso. Bioinform. 33(21): 3445-3453 (2017) - [j30]Ashar Ahmad, Holger Fröhlich:
Towards clinically more relevant dissection of patient heterogeneity via survival-based Bayesian clustering. Bioinform. 33(22): 3558-3566 (2017) - [j29]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) - [i1]Niko Beerenwinkel, Holger Fröhlich, Susan A. Murphy:
Addressing the Computational Challenges of Personalized Medicine (Dagstuhl Seminar 17472). Dagstuhl Reports 7(11): 130-141 (2017) - 2015
- [j28]Holger Fröhlich:
biRte: Bayesian inference of context-specific regulator activities and transcriptional networks. Bioinform. 31(20): 3290-3298 (2015) - [j27]Juliane Siebourg-Polster, Daria Mudrak, Mario Emmenlauer, Pauli Rämö, Christoph Dehio, Urs F. Greber, Holger Fröhlich, Niko Beerenwinkel:
NEMix: Single-cell Nested Effects Models for Probabilistic Pathway Stimulation. PLoS Comput. Biol. 11(4) (2015) - [c12]Satya Swarup Samal, Dima Grigoriev, Holger Fröhlich, Ovidiu Radulescu:
Analysis of Reaction Network Systems Using Tropical Geometry. CASC 2015: 424-439 - 2014
- [j26]Yupeng Cun, Holger Fröhlich:
netClass: an R-package for network based, integrative biomarker signature discovery. Bioinform. 30(9): 1325-1326 (2014) - [j25]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: 55 (2014) - 2013
- [j24]Henrik Failmezger, Paurush Praveen, Achim Tresch, Holger Fröhlich:
Learning gene network structure from time laps cell imaging in RNAi Knock downs. Bioinform. 29(12): 1534-1540 (2013) - [j23]Afshin Sadeghi, Holger Fröhlich:
Steiner tree methods for optimal sub-network identification: an empirical study. BMC Bioinform. 14: 144 (2013) - [j22]Henrik Failmezger, Holger Fröhlich, Achim Tresch:
Unsupervised automated high throughput phenotyping of RNAi time-lapse movies. BMC Bioinform. 14: 292 (2013) - [j21]Mohsen Ahmadi, Martin Vogt, Preeti Iyer, Jürgen Bajorath, Holger Fröhlich:
Predicting Potent Compounds via Model-Based Global Optimization. J. Chem. Inf. Model. 53(3): 553-559 (2013) - [c11]Holger Fröhlich, Gunnar W. Klau:
Reconstructing Consensus Bayesian Network Structures with Application to Learning Molecular Interaction Networks. GCB 2013: 46-55 - 2012
- [j20]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): 1714-1720 (2012) - [j19]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: 69 (2012) - [j18]Francesco Pappalardo, Vladimir Brusic, Holger Fröhlich:
Immune System Modeling and Related Pathologies. Comput. Math. Methods Medicine 2012: 274702:1-274702:2 (2012) - [j17]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) - 2011
- [j16]Holger Fröhlich, Paurush Praveen, Achim Tresch:
Fast and efficient dynamic nested effects models. Bioinform. 27(2): 238-244 (2011) - [j15]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): 1442-1443 (2011) - 2010
- [j14]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): 2136-2144 (2010) - [j13]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)
2000 – 2009
- 2009
- [j12]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: 322 (2009) - [j11]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: 1 (2009) - [j10]Cordula Zeller, Holger Fröhlich, Achim Tresch:
A Bayesian Network View on Nested Effects Models. EURASIP J. Bioinform. Syst. Biol. 2009 (2009) - 2008
- [j9]Holger Fröhlich, Mark Fellmann, Holger Sültmann, Annemarie Poustka, Tim Beißbarth:
Predicting pathway membership via domain signatures. Bioinform. 24(19): 2137-2142 (2008) - [j8]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): 2549-2550 (2008) - [j7]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): 2650-2656 (2008) - [j6]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): 92-101 (2008) - 2007
- [j5]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) - [j4]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) - [c10]Jochen Supper, Holger Fröhlich, Christian Spieth, Andreas Dräger, Andreas Zell:
Inferring Gene Regulatory Networks by Machine Learning Methods. APBC 2007: 247-256 - [c9]Jochen Supper, Holger Fröhlich, Andreas Zell:
Gene Regulatory Network Inference via Regression Based Topological Refinement. APBC 2007: 267-276 - [c8]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: 45-54 - 2006
- [b1]Holger Fröhlich:
Kernel methods in chemo- and bioinformatics. Eberhard Karls University of Tübingen, 2006, ISBN 978-3-8325-1439-6, pp. 1-195 - [c7]Holger Fröhlich, Nora Speer, Christian Spieth, Andreas Zell:
Kernel Based Functional Gene Grouping. IJCNN 2006: 3580-3585 - [c6]Christian Weiss, Holger Fröhlich, Andreas Zell:
Vibration-based Terrain Classification Using Support Vector Machines. IROS 2006: 4429-4434 - 2005
- [c5]Nora Speer, Holger Fröhlich, Christian Spieth, Andreas Zell:
Functional Distances for Genes Based on GO Feature Maps and their Application to Clustering. CIBCB 2005: 142-149 - [c4]Holger Fröhlich, Jörg K. Wegner, Florian Sieker, Andreas Zell:
Optimal assignment kernels for attributed molecular graphs. ICML 2005: 225-232 - 2004
- [j3]Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf:
Feature Selection for Support Vector Machines Using Genetic Algorithms. Int. J. Artif. Intell. Tools 13(4): 791-800 (2004) - [j2]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): 921-930 (2004) - [j1]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): 931-939 (2004) - [c3]Achim J. Lilienthal, Andreas Zell, Holger Ulmer, Holger Fröhlich, Andreas Stützle, Felix Werner:
Gas Source Declaration with a Mobile Robot. ICRA 2004: 1430-1435 - [c2]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: 1444-1449 - 2003
- [c1]Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf:
Feature Selection for Support Vector Machines by Means of Genetic Algorithms. ICTAI 2003: 142-148
Coauthor Index
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last updated on 2024-09-10 01:17 CEST by the dblp team
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