Holger Fröhlich

Andreas Zell, Holger Fröhlich, Holger Ulmer, 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

Analysis of Reaction Network Systems Using Tropical Geometry

Holger Fröhlich, Dima Grigoriev, Ovidiu Radulescu, 2015, CASC.

Integrating Heterogeneous omics Data via Statistical Inference and Learning Techniques

Holger Fröhlich, Ashar Ahmad, H. Fröhlich, 2016 .

Steiner tree methods for optimal sub-network identification: an empirical study

Holger Fröhlich, Afshin Sadeghi, 2012, BMC Bioinformatics.

Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data

Holger Fröhlich, Hamid Beigy, Ali Masoudi-Nejad, 2017, PloS one.

Reconstructing Consensus Bayesian Network Structures with Application to Learning Molecular Interaction Networks

Holger Fröhlich, Gunnar W. Klau, H. Fröhlich, 2013, GCB.

Variational Autoencoder Modular Bayesian Networks (VAMBN) for Simulation of Heterogeneous Clinical Study Data

Meemansa Sood, Martin Hofmann-Apitius, Holger Fröhlich, 2019, bioRxiv.

Optimal Assignment Kernels for ADME in Silico Prediction

Holger Fröhlich, H. Fröhlich, 2011 .

Gene Regulatory Network Inference via Regression Based Topological Refinement

Andreas Zell, Holger Fröhlich, Jochen Supper, 2007, APBC.

Including network knowledge into Cox regression models for biomarker signature discovery

Holger Fröhlich, H. Fröhlich, 2014, Biometrical journal. Biometrische Zeitschrift.

Joint Bayesian inference of condition-specific miRNA and transcription factor activities from combined gene and microRNA expression data

Holger Fröhlich, Achim Tresch, Erfan Younesi, 2012, Bioinform..

biRte: Bayesian inference of context-specific regulator activities and transcriptional networks

Holger Fröhlich, H. Fröhlich, 2015, Bioinform..

Inferring modulators of genetic interactions with epistatic nested effects models

Holger Fröhlich, Niko Beerenwinkel, Martin Pirkl, 2017, PLoS Comput. Biol..

The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling

Martin Hofmann-Apitius, Holger Fröhlich, Charles Tapley Hoyt, 2019, bioRxiv.

Estimating large-scale signaling networks through nested effect models with intervention effects from microarray data

Holger Fröhlich, Tim Beißbarth, Holger Sültmann, 2008, Bioinform..

Prognostic gene signatures for patient stratification in breast cancer - accuracy, stability and interpretability of gene selection approaches using prior knowledge on protein-protein interactions

Holger Fröhlich, Yupeng Cun, H. Fröhlich, 2012, BMC Bioinformatics.

GuiltyTargets: Prioritization of Novel Therapeutic Targets with Deep Network Representation Learning

Martin Hofmann-Apitius, Holger Fröhlich, Charles Tapley Hoyt, 2019, bioRxiv.

Immune System Modeling and Related Pathologies

Holger Fröhlich, Vladimir Brusic, Francesco Pappalardo, 2012, Comput. Math. Methods Medicine.

Integration of Reverse‐Osmosis Unit Operations in Biotechnology Process Design

Holger Fröhlich, Jochen Strube, F. Grote, 2012 .

Optimal assignment kernels for attributed molecular graphs

Andreas Zell, Holger Fröhlich, Jörg K. Wegner, 2005, ICML.

Integration of Ultrafiltration Unit Operations in Biotechnology Process Design

Holger Fröhlich, Jochen Strube, F. Grote, 2011 .

Membrane Technology in Bioprocess Science

Holger Fröhlich, Jochen Strube, Louis Villian, 2012 .

Fast and efficient dynamic nested effects models

Holger Fröhlich, Achim Tresch, Paurush Praveen, 2011, Bioinform..

Linking metabolic network features to phenotypes using sparse group lasso

Holger Fröhlich, Andreas Weber, Ovidiu Radulescu, 2017, Bioinform..

A Machine Learning Approach to Automated Gait Analysis for the Noldus Catwalk System

Holger Fröhlich, Kasper Claes, Catherine De Wolf, 2018, IEEE Transactions on Biomedical Engineering.

Deterministic Effects Propagation Networks for reconstructing protein signaling networks from multiple interventions

Holger Fröhlich, Tim Beißbarth, Christian Bender, 2009, BMC Bioinformatics.

Boosting Probabilistic Graphical Model Inference by Incorporating Prior Knowledge from Multiple Sources

Holger Fröhlich, Paurush Praveen, H. Fröhlich, 2013, PloS one.

Efficient Engineering and Production Concepts for Products in Regulated Environments – Dream or Nightmare?

Holger Fröhlich, Jochen Strube, Reinhard Ditz, 2014 .

Estimating Large Scale Scale Signaling Networks through Nested Effects Models from Intervention Effects in Microarray Data

Holger Fröhlich, Tim Beißbarth, Holger Sültmann, 2007, German Conference on Bioinformatics.

Dynamic deterministic effects propagation networks: learning signalling pathways from longitudinal protein array data

Holger Fröhlich, Tim Beißbarth, Stefan Wiemann, 2010, Bioinform..

TGF-β stimulation in human and murine cells reveals commonly affected biological processes and pathways at transcription level

Holger Fröhlich, Kristin Seré, Qiong Lin, 2014, BMC Systems Biology.

Kernel Functions for Attributed Molecular Graphs – A New Similarity‐Based Approach to ADME Prediction in Classification and Regression

Andreas Zell, Holger Fröhlich, Jörg K. Wegner, 2006 .

Gas source declaration with a mobile robot

Andreas Zell, Holger Fröhlich, Holger Ulmer, 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

Integration of Pervaporation Unit Operations in Process Design

Holger Fröhlich, Jochen Strube, H. Thiess, 2013 .

Learning gene network structure from time laps cell imaging in RNAi Knock downs

Holger Fröhlich, Achim Tresch, Henrik Failmezger, 2013, Bioinform..

netClass: an R-package for network based, integrative biomarker signature discovery

Holger Fröhlich, Yupeng Cun, H. Fröhlich, 2014, Bioinform..

Analyzing gene perturbation screens with nested effects models in R and bioconductor

Holger Fröhlich, Achim Tresch, Rainer Spang, 2008, Bioinform..

Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance

Holger Fröhlich, Denis Thieffry, Claudine Chaouiya, 2009, BMC Systems Biology.

Towards clinically more relevant dissection of patient heterogeneity via survival‐based Bayesian clustering

Holger Fröhlich, Ashar Ahmad, H. Fröhlich, 2017, Bioinform..

Unsupervised automated high throughput phenotyping of RNAi time-lapse movies

Holger Fröhlich, Achim Tresch, Henrik Failmezger, 2013, BMC Bioinformatics.

GOSim – an R-package for computation of information theoretic GO similarities between terms and gene products

Holger Fröhlich, Tim Beißbarth, Nora Speer, 2007, BMC Bioinformatics.

Predicting Potent Compounds via Model-Based Global Optimization

Holger Fröhlich, Mohsen Ahmadi, Jürgen Bajorath, 2013, J. Chem. Inf. Model..

Integration of Membrane Unit Operations in Bioprocess Design

Holger Fröhlich, Jochen Strube, C. Helling, 2012 .

pathClass: an R-package for integration of pathway knowledge into support vector machines for biomarker discovery

Holger Fröhlich, Tim Beißbarth, Holger Sültmann, 2011, Bioinform..

NEMix: Single-cell Nested Effects Models for Probabilistic Pathway Stimulation

Holger Fröhlich, Niko Beerenwinkel, Pauli Rämö, 2015, PLoS Comput. Biol..

MC EMiNEM Maps the Interaction Landscape of the Mediator

Holger Fröhlich, Achim Tresch, Dietmar E. Martin, 2012, PLoS Comput. Biol..

Towards Optimal Descriptor Subset Selection with Support Vector Machines in Classification and Regression

Andreas Zell, Holger Fröhlich, Jörg K. Wegner, 2004 .

Fundamentals towards a Modular Microstructured Production Plant

Holger Fröhlich, Jochen Strube, C. Helling, 2012 .

PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data

Holger Fröhlich, Amina Lemsara, Salima Ouadfel, 2020, BMC Bioinformatics.

Vibration-based Terrain Classification Using Support Vector Machines

Andreas Zell, Holger Fröhlich, Christian Weiss, 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Kernel Based Functional Gene Grouping

Andreas Zell, Holger Fröhlich, Christian Spieth, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Feature selection for support vector machines by means of genetic algorithm

Bernhard Schölkopf, Holger Fröhlich, Olivier Chapelle, 2003, Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence.

Kernel methods in chemo- and bioinformatics

Holger Fröhlich, 2006 .

Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients

Holger Fröhlich, Tim Beißbarth, Holger Sültmann, 2010, Bioinform..

SEEDS: data driven inference of structural model errors and unknown inputs for dynamic systems biology

Holger Fröhlich, Dominik Kahl, Philipp Wendland, 2021, Bioinform..

An Explainable Multimodal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data

Holger Fröhlich, Thomas Linden, Chao Lu, 2021, Frontiers in Artificial Intelligence.

A Bayesian approach to estimating hidden variables as well as missing and wrong molecular interactions in ordinary differential equation-based mathematical models

Holger Fröhlich, Maik Kschischo, Benjamin Engelhardt, 2017, Journal of The Royal Society Interface.

Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease

Michael W. Weiner, Robert C. Green, Yen-Jen Oyang, 2016, Alzheimer's & Dementia.

A Geometric Method for Model Reduction of Biochemical Networks with Polynomial Rate Functions

Holger Fröhlich, Dima Grigoriev, Andreas Weber, 2015, Bulletin of Mathematical Biology.

Steiner tree methods for optimal sub-network identification: an empirical study

Holger Fröhlich, Afshin Sadeghi, 2012 .

A Tropical Method based on Newton Polygon Approach for Algebraic Analysis of Biochemical Reaction Networks

Holger Fröhlich, Dima Grigoriev, Andreas Weber, 2014 .

MCMC Techniques for Parameter Estimation of ODE Based Models in Systems Biology

Holger Fröhlich, H. Fröhlich, Gloria I. Valderrama-Bahamóndez, 2019, Front. Appl. Math. Stat..

Network and Data Integration for Biomarker Signature Discovery via Network Smoothed T-Statistics

Holger Fröhlich, Yupeng Cun, H. Fröhlich, 2013, PloS one.

Review Biomarker Gene Signature Discovery Integrating Network Knowledge

Holger Fröhlich, Yupeng Cun, H. Fröhlich, 2012 .

From hype to reality: data science enabling personalized medicine

Holger Fröhlich, Thomas Lengauer, Blaz Zupan, 2018, BMC Medicine.

Using Multi-Scale Genetic, Neuroimaging and Clinical Data for Predicting Alzheimer’s Disease and Reconstruction of Relevant Biological Mechanisms

Mohammad Asif Emon, Martin Hofmann-Apitius, Holger Fröhlich, 2018, Scientific Reports.

Data and Graph Mining in Chemical Space for ADME and Activity Data Sets

Andreas Zell, Holger Fröhlich, Jörg K. Wegner, 2006 .

Characterizing the genetic basis of innate immune response in TLR4-activated human monocytes

Holger Fröhlich, Gunther Hartmann, Mahdad Noursadeghi, 2014, Nature Communications.

Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia - lessons for translation into clinical practice

Mohammad Asif Emon, Martin Hofmann-Apitius, Holger Fröhlich, 2020, EPMA Journal.

Classic bladder exstrophy and adenocarcinoma of the bladder: Methylome analysis provide no evidence for underlying disease-mechanisms of this association.

Holger Fröhlich, Glen Kristiansen, G. Kristiansen, 2019, Cancer genetics.