Wolfgang Urfer

发表

Sequence-structure alignment using a statistical analysis of core models and dynamic programming

Paul Fischer, Marcus Brunnert, Wolfgang Urfer, 2002 .

Analyzing Microarray Data with the Generative Topographic Mapping Approach

Wolfgang Urfer, Isabelle Grimmenstein, Karsten Quast, 2004, GfKl.

Model identification and parameter estimation of ARMA models by means of evolutionary algorithms

Wolfgang Urfer, Joachim Sprave, Susanne Rolf, 1997, Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering (CIFEr).

Application of hidden Markov models for the identification of short protein repeats

Wolfgang Urfer, Ingrid Vetter, Friedhelm Bongardt, 2002 .

Hidden Markov Models and Neural Networks: Identifying Signal Peptides and Transmembrane Protein Topology

Wolfgang Urfer, Lisete Sousa, Mário Santos, 2002 .

IDENTIFICATION OF SIGNAL PEPTIDES USING A HIDDEN MARKOV MODEL

Wolfgang Urfer, Mário Santos, Lisete Sousa, 2002 .

Statistical analysis of Sequence-Structure Alignment Scores

Heinz-Theodor Mevissen, Ralf Thiele, Marcus Brunnert, 2002 .

Editorial: Special issue on statistical toxicology and toxicological statistics

Wolfgang Urfer, 2004, Environmental and Ecological Statistics.

Retention time alignment algorithms for LC/MS data must consider non-linear shifts

Kai Stühler, Christian Stephan, Petra Mutzel, 2009, Bioinform..

Clustering algorithms for aerial photographs and high resolution satellite images

Mohamed Talbi, Gabriela Guimarães, Wolfgang Urfer, 2000 .

Identification of conserved regions and determination of relationships in protein families by self-organizing maps

Wolfgang Urfer, Isabelle M. Grimmenstein, Miguel A. Andrade, 2002 .

Self-Organizing Maps and its Applications in Sleep Apnea Research and Molecular Genetics

Gabriela Guimarães, Wolfgang Urfer, W. Urfer, 2000 .

Analyzing Protein Data with the Generative Topographic Mapping Approach

Wolfgang Urfer, Isabelle M. Grimmenstein, 2005 .

A kernel method in analysis of replicated micro-array experiments

Jérôme Saracco, Wolfgang Urfer, Ali Gannoun, 2007 .

Statistics for Proteomics: A Review of Tools for Analyzing Experimental Data

Marco Grzegorczyk, Wolfgang Urfer, Klaus Jung, 2006, Proteomics.

Heteroscedastic Nonlinear Regression Models with Random Effects and Their Application to Enzyme Kinetic Data

Lutz Edler, Wolfgang Urfer, L. Edler, 1999 .

Estimation of toxicokinetic parameters in population models for inhalation studies with ethylene

Wolfgang Urfer, Silvia Selinski, Klaus Golka, 2000 .

Robust trend tests with application to toxicology

Ludwig A. Hothorn, Wolfgang Urfer, L. Hothorn, 2000, Environmental and Ecological Statistics.

STATISTICAL EVALUATION OF METHODS FOR THE ANALYSIS OF DYNAMIC PROTEIN EXPRESSION DATA FROM A TUMOR STUDY

Barbara Sitek, Kai Stühler, Klaus Jung, 2006 .

Reduction of ion mobility spectrometry data by clustering characteristic peak structures

Jörg Ingo Baumbach, Wolfgang Urfer, W. Urfer, 2006 .

Spatial prediction of the intensity of latent effects governing hydrogeological phenomena

Wolfgang Urfer, Olaf Berke, László Márkus, 1999 .

Preprocessing of ion mobility spectra by lognormal detailing and wavelet transform

Jörg Ingo Baumbach, Wolfgang Urfer, W. Urfer, 2008 .

Ion mobility spectrometry for the detection of volatile organic compounds in exhaled breath of lung cancer patients - Results of a pilot study.

Jörg Ingo Baumbach, Wolfgang Urfer, Lutz Freitag, 2009 .

Disposition models for the analysis of dynamic changes in forest-ecosystems

Wolfgang Urfer, George E. Bonney, Joachim Kötting, 1998 .

ANALYSIS OF DYNAMIC PROTEIN EXPRESSION DATA

Barbara Sitek, Klaus Jung, Wolfgang Urfer, 2005 .

Genetical and statistical aspects of polymerase chain reactions

Marcus Brunnert, Wolfgang Urfer, W. Urfer, 2000 .

ION MOBILITY SPECTROMETRY: A NEW METHOD FOR THE DETECTION OF LUNG CANCER AND AIRWAY INFECTION IN EXHALED AIR? FIRST RESULTS OF A PILOT STUDY

Jörg Ingo Baumbach, Wolfgang Urfer, Lutz Freitag, 2005 .