Matthias Scherf

BiblioSphere — Hypothesis Generation in Regulatory Network Analysis

Anton Epple, Matthias Scherf, 2009 .

The next generation of literature analysis: Integration of genomic analysis into text mining

Thomas Werner, Anton Epple, Matthias Scherf, 2005, Briefings Bioinform..

A Neuro-Fuzzy-Classifier for a Knowledge-Based Glaucoma Monitor

Matthias Scherf, Gudrun Zahlmann, A. Wegner, 1997, AIME.

A New Approach to Feature Selection

Matthias Scherf, 1997, AIME.

Distanzbasierte Merkmalsbewertung

Matthias Scherf, Matthias Scherf, 1998 .

The structured development method SENN for freeforward neural networks and the application to the multimedia patient record in the Bavarian Health Net

Wilfried Brauer, Rolf Engelbrecht, Thomas Waschulzik, 1996, IFIP World Conference on IT Tools.

Einsatz eines Neuro-Fuzzy-Klassifikators beim Glaukom-Monitoring

Gudrun Zahlmann, Matthias Scherf, Aharon Wegner, 1997, Künstliche Intell..

Development and verification of fuzzy situation classes for glaucoma monitoring

Matthias Scherf, G. Zahlmann, A. Wegner, 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

Improving RBF Networks by a Two-Step Feature Selection Approach

Wilfried Brauer, Matthias Scherf, 1997, ICONIP.

Neurofuzzy and EUBAFES as tools for knowledge discovery in visual field data

Matthias Scherf, A. Wegner, G. Zahlmann, 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

Improving RBF Networks by the Feature Selection Approach EUBAFES

Wilfried Brauer, Matthias Scherf, W. Brauer, 1997, ICANN.

Tissue-specific transcript annotation and expression profiling with complementary next-generation sequencing technologies

Thomas Werner, Matthias Scherf, Matthias Harbers, 2010, Nucleic acids research.

Experimental data of a single promoter can be used for in silico detection of genes with related regulation in the absence of sequence similarity

Valérie Gailus-Durner, Thomas Werner, Matthias Scherf, 2001, Mammalian Genome.

Multievidence microarray mining.

Thomas Werner, Anton Epple, Matthias Scherf, 2005, Trends in genetics : TIG.