Mathäus Dejori

发表

GeneSim™: Intelligent IT Platform for the Biomedical World

Martin Stetter, Andreas Nägele, Mathäus Dejori, 2007 .

A Meta-Data Approach to Querying Multiple Biomedical Ontologies

Ravi Palla, Mathäus Dejori, Dan Tecuci, 2011, ICBO.

Structure Learning with Nonparametric Decomposable Models

Anton Schwaighofer, Volker Tresp, Mathäus Dejori, 2007, ICANN.

Method for determining a biomarker to identify a specific biological state of an organism of at least one data record

Mathäus Dejori, Martin Stetter, 2005 .

Systems Level Modeling of Gene Regulatory Networks

Bernd Schürmann, Mathäus Dejori, Martin Stetter, 2004, Artificial Intelligence Methods And Tools For Systems Biology.

Anticipating annotations and emerging trends in biomedical literature

Dmitriy Fradkin, Fabian Mörchen, Markus Bundschus, 2008, KDD.

Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction

Daniel P. Fasulo, Mathäus Dejori, Lance E. Palmer, 2010, BMC Bioinformatics.

Emerging Trend Prediction in Biomedical Literature

Dmitriy Fradkin, Fabian Mörchen, Mathäus Dejori, 2008, AMIA.

Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures

Andreas Nägele, Mathäus Dejori, Martin Stetter, 2007, ECML.

Bayesian Inference of Genetic Networks from Gene-Expression-Data: Convergence and Reliability

Mathäus Dejori, Martin Stetter, 2003, IC-AI.

Large-Scale Computational Modeling of Genetic Regulatory Networks

Gustavo Deco, Mathäus Dejori, Martin Stetter, 2003, Artificial Intelligence Review.

Noisy scale-free networks

Martin Stetter, Mathäus Dejori, Martin Greiner, 2005 .

Learning of Bayesian networks by a local discovery ant colony algorithm

Thomas A. Runkler, João Miguel da Costa Sousa, Pedro C. Pinto, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Mining functional modules in genetic networks with decomposable graphical models.

Anton Schwaighofer, Volker Tresp, Mathäus Dejori, 2004, Omics : a journal of integrative biology.

Robust Learning of High-dimensional Biological Networks with Bayesian Networks

Martin Stetter, Andreas Nägele, Mathäus Dejori, 2008 .

A method, computer program with program code means, and computer program product for analyzing a genetic regulatory network of a cell

Mathäus Dejori, Martin Stetter, 2004 .

Identifying Interventional and Pathogenic Mechanisms by Generative Inverse Modeling of Gene Expression Profiles

Mathäus Dejori, Martin Stetter, M. Stetter, 2004, J. Comput. Biol..

Using a Local Discovery Ant Algorithm for Bayesian Network Structure Learning

Thomas A. Runkler, João Miguel da Costa Sousa, Pedro C. Pinto, 2009, IEEE Transactions on Evolutionary Computation.

Hierarchical Bayesian Models for Collaborative Tagging Systems

Hans-Peter Kriegel, Achim Rettinger, Volker Tresp, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Extraction of semantic biomedical relations from text using conditional random fields

Hans-Peter Kriegel, Volker Tresp, Markus Bundschus, 2008, BMC Bioinformatics.