Holger Fröhlich
Orcid: 0000-0002-5328-1243Affiliations:
- University of Bonn, Germany
According to our database1,
Holger Fröhlich
authored at least 60 papers
between 2003 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on d-nb.info
On csauthors.net:
Bibliography
2023
A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression.
IEEE J. Biomed. Health Informatics, September, 2023
AI reveals insights into link between CD33 and cognitive impairment in Alzheimer's Disease.
PLoS Comput. Biol., February, 2023
Towards early diagnosis of Alzheimer's disease: Advances in immune-related blood biomarkers and computational modeling approaches.
CoRR, 2023
Synthetic data generation for a longitudinal cohort study - Evaluation, method extension and reproduction of published data analysis results.
CoRR, 2023
2022
GuiltyTargets: Prioritization of Novel Therapeutic Targets With Network Representation Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Ten quick tips for biomarker discovery and validation analyses using machine learning.
PLoS Comput. Biol., 2022
Accurate prediction of virus-host protein-protein interactions via a Siamese neural network using deep protein sequence embeddings.
Patterns, 2022
Generation of realistic synthetic data using Multimodal Neural Ordinary Differential Equations.
npj Digit. Medicine, 2022
Deep Learning-based detection of psychiatric attributes from German mental health records.
Int. J. Medical Informatics, 2022
2021
An Explainable Multimodal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data.
Frontiers Artif. Intell., 2021
SEEDS: data driven inference of structural model errors and unknown inputs for dynamic systems biology.
Bioinform., 2021
2020
Variational Autoencoder Modular Bayesian Networks for Simulation of Heterogeneous Clinical Study Data.
Frontiers Big Data, 2020
PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data.
BMC Bioinform., 2020
2019
Frontiers Appl. Math. Stat., 2019
2018
A Machine Learning Approach to Automated Gait Analysis for the Noldus Catwalk System.
IEEE Trans. Biomed. Eng., 2018
2017
PLoS Comput. Biol., 2017
Addressing the Computational Challenges of Personalized Medicine (Dagstuhl Seminar 17472).
Dagstuhl Reports, 2017
Bioinform., 2017
Towards clinically more relevant dissection of patient heterogeneity via survival-based Bayesian clustering.
Bioinform., 2017
2015
PLoS Comput. Biol., 2015
biRte: Bayesian inference of context-specific regulator activities and transcriptional networks.
Bioinform., 2015
Proceedings of the Computer Algebra in Scientific Computing - 17th International Workshop, 2015
2014
TGF-beta stimulation in human and murine cells reveals commonly affected biological processes and pathways at transcription level.
BMC Syst. Biol., 2014
Bioinform., 2014
2013
J. Chem. Inf. Model., 2013
BMC Bioinform., 2013
BMC Bioinform., 2013
Bioinform., 2013
Reconstructing Consensus Bayesian Network Structures with Application to Learning Molecular Interaction Networks.
Proceedings of the German Conference on Bioinformatics 2013, 2013
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.
BMC Bioinform., 2012
Joint Bayesian inference of condition-specific miRNA and transcription factor activities from combined gene and microRNA expression data.
Bioinform., 2012
2011
pathClass: an R-package for integration of pathway knowledge into support vector machines for biomarker discovery.
Bioinform., 2011
2010
Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients.
Bioinform., 2010
Dynamic deterministic effects propagation networks: learning signalling pathways from longitudinal protein array data.
Bioinform., 2010
2009
EURASIP J. Bioinform. Syst. Biol., 2009
Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance.
BMC Syst. Biol., 2009
Deterministic Effects Propagation Networks for reconstructing protein signaling networks from multiple interventions.
BMC Bioinform., 2009
2008
Automated classification of the behavior of rats in the forced swimming test with support vector machines.
Neural Networks, 2008
Estimating large-scale signaling networks through nested effect models with intervention effects from microarray data.
Bioinform., 2008
Analyzing gene perturbation screens with nested effects models in R and bioconductor.
Bioinform., 2008
2007
GOSim - an R-package for computation of information theoretic GO similarities between terms and gene products.
BMC Bioinform., 2007
Large scale statistical inference of signaling pathways from RNAi and microarray data.
BMC Bioinform., 2007
Estimating Large Scale Scale Signaling Networks through Nested Effects Models from Intervention Effects in Microarray Data.
Proceedings of the German Conference on Bioinformatics, 2007
Proceedings of 5th Asia-Pacific Bioinformatics Conference, 2007
Proceedings of 5th Asia-Pacific Bioinformatics Conference, 2007
2006
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Proceedings of the Machine Learning, 2005
Functional Distances for Genes Based on GO Feature Maps and their Application to Clustering.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005
2004
Feature Selection for Descriptor Based Classification Models. 2. Human Intestinal Absorption (HIA).
J. Chem. Inf. Model., 2004
Feature Selection for Descriptor Based Classification Models. 1. Theory and GA-SEC Algorithm.
J. Chem. Inf. Model., 2004
Int. J. Artif. Intell. Tools, 2004
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004
2003
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003