Holger Fröhlich

According to our database1, Holger Fröhlich authored at least 46 papers between 2003 and 2018.

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Bibliography

2018
A Machine Learning Approach to Automated Gait Analysis for the Noldus Catwalk System.
IEEE Trans. Biomed. Engineering, 2018

2017
Inferring modulators of genetic interactions with epistatic nested effects models.
PLoS Computational Biology, 2017

Addressing the Computational Challenges of Personalized Medicine (Dagstuhl Seminar 17472).
Dagstuhl Reports, 2017

Linking metabolic network features to phenotypes using sparse group lasso.
Bioinformatics, 2017

Towards clinically more relevant dissection of patient heterogeneity via survival-based Bayesian clustering.
Bioinformatics, 2017

2015
NEMix: Single-cell Nested Effects Models for Probabilistic Pathway Stimulation.
PLoS Computational Biology, 2015

biRte: Bayesian inference of context-specific regulator activities and transcriptional networks.
Bioinformatics, 2015

Analysis of Reaction Network Systems Using Tropical Geometry.
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 Systems Biology, 2014

netClass: an R-package for network based, integrative biomarker signature discovery.
Bioinformatics, 2014

2013
Predicting Potent Compounds via Model-Based Global Optimization.
Journal of Chemical Information and Modeling, 2013

Steiner tree methods for optimal sub-network identification: an empirical study.
BMC Bioinformatics, 2013

Unsupervised automated high throughput phenotyping of RNAi time-lapse movies.
BMC Bioinformatics, 2013

Learning gene network structure from time laps cell imaging in RNAi Knock downs.
Bioinformatics, 2013

Reconstructing Consensus Bayesian Network Structures with Application to Learning Molecular Interaction Networks.
Proceedings of the German Conference on Bioinformatics 2013, 2013

2012
MC EMiNEM Maps the Interaction Landscape of the Mediator.
PLoS Computational Biology, 2012

Immune System Modeling and Related Pathologies.
Comp. Math. Methods in Medicine, 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 Bioinformatics, 2012

Joint Bayesian inference of condition-specific miRNA and transcription factor activities from combined gene and microRNA expression data.
Bioinformatics, 2012

2011
pathClass: an R-package for integration of pathway knowledge into support vector machines for biomarker discovery.
Bioinformatics, 2011

Fast and efficient dynamic nested effects models.
Bioinformatics, 2011

2010
Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients.
Bioinformatics, 2010

Dynamic deterministic effects propagation networks: learning signalling pathways from longitudinal protein array data.
Bioinformatics, 2010

2009
A Bayesian Network View on Nested Effects Models.
EURASIP J. Bioinformatics and Systems Biology, 2009

Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance.
BMC Systems Biology, 2009

Deterministic Effects Propagation Networks for reconstructing protein signaling networks from multiple interventions.
BMC Bioinformatics, 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.
Bioinformatics, 2008

Predicting pathway membership via domain signatures.
Bioinformatics, 2008

Analyzing gene perturbation screens with nested effects models in R and bioconductor.
Bioinformatics, 2008

2007
GOSim - an R-package for computation of information theoretic GO similarities between terms and gene products.
BMC Bioinformatics, 2007

Large scale statistical inference of signaling pathways from RNAi and microarray data.
BMC Bioinformatics, 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

Gene Regulatory Network Inference via Regression Based Topological Refinement.
Proceedings of 5th Asia-Pacific Bioinformatics Conference, 2007

Inferring Gene Regulatory Networks by Machine Learning Methods.
Proceedings of 5th Asia-Pacific Bioinformatics Conference, 2007

2006
Kernel methods in chemo- and bioinformatics.
PhD thesis, 2006

Vibration-based Terrain Classification Using Support Vector Machines.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Kernel Based Functional Gene Grouping.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Optimal assignment kernels for attributed molecular graphs.
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).
Journal of Chemical Information and Modeling, 2004

Feature Selection for Descriptor Based Classification Models. 1. Theory and GA-SEC Algorithm.
Journal of Chemical Information and Modeling, 2004

Feature Selection for Support Vector Machines Using Genetic Algorithms.
International Journal on Artificial Intelligence Tools, 2004

Learning to detect proximity to a gas source with a mobile robot.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

Gas Source Declaration with a Mobile Robot.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

2003
Feature Selection for Support Vector Machines by Means of Genetic Algorithms.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003


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