Jens Keilwagen

According to our database, Jens Keilwagen authored at least 23 papers between 2007 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

DepLogo: visualizing sequence dependencies in R.

Jan Grau, Martin Nettling, Jens Keilwagen

Bioinform., 2019

2018

Combining RNA-seq data and homology-based gene prediction for plants, animals and fungi.

Jens Keilwagen, Frank Hartung, Michael Paulini, Sven Twardziok, Jan Grau

BMC Bioinform., 2018

2015

Computational Recognition of RNA Splice Sites by Exact Algorithms for the Quadratic Traveling Salesman Problem.

Anja Fischer, Frank Fischer, Gerold Jäger, Jens Keilwagen, Paul Molitor, Ivo Grosse

Comput., 2015

DiffLogo: a comparative visualization of sequence motifs.

Martin Nettling, Hendrik Treutler, Jan Grau, Jens Keilwagen, Stefan Posch, Ivo Grosse

BMC Bioinform., 2015

PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R.

Jan Grau, Ivo Grosse, Jens Keilwagen

Bioinform., 2015

2014

Exact algorithms and heuristics for the Quadratic Traveling Salesman Problem with an application in bioinformatics.

Anja Fischer, Frank Fischer, Gerold Jäger, Jens Keilwagen, Paul Molitor, Ivo Grosse

Discret. Appl. Math., 2014

A general approach for discriminative de novo motif discovery from high-throughput data.

Jan Grau, Stefan Posch, Ivo Grosse, Jens Keilwagen

Proceedings of the German conference on bioinformatics 2014, September 28, 2014

2013

Dispom: a Discriminative de-novo Motif Discovery Tool Based on the Jstacs Library.

Jan Grau, Jens Keilwagen, André Gohr, Ivan A. Paponov, Stefan Posch, Michael Seifert, Marc Strickert, Ivo Grosse

J. Bioinform. Comput. Biol., 2013

2012

Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences.

Jan Grau, Jens Keilwagen, André Gohr, Berit Haldemann, Stefan Posch, Ivo Grosse

J. Mach. Learn. Res., 2012

2011

De-Novo Discovery of Differentially Abundant Transcription Factor Binding Sites Including Their Positional Preference.

Jens Keilwagen, Jan Grau, Ivan A. Paponov, Stefan Posch, Marc Strickert, Ivo Grosse

PLoS Comput. Biol., 2011

2010

Unifying generative and discriminative learning principles.

Jens Keilwagen, Jan Grau, Stefan Posch, Marc Strickert, Ivo Grosse

BMC Bioinform., 2010

Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis.

Jens Keilwagen, Jan Grau, Stefan Posch, Ivo Grosse

BMC Bioinform., 2010

Vorhersage von DNA-Bindungsstellen mit generativen, diskriminativen und hybriden Lernverfahren.

Jens Keilwagen

Proceedings of the Ausgezeichnete Informatikdissertationen 2010, 2010

Predicting miRNA targets utilizing an Extended Profile HMM.

Jan Grau, Daniel Arend, Ivo Grosse, Artemis G. Hatzigeorgiou, Jens Keilwagen, Manolis Maragkakis, Claus Weinholdt, Stefan Posch

Proceedings of the German Conference on Bioinformatics 2010, 2010

Predicting DNA binding sites using generative, discriminative, and hybrid learning principles.

Jens Keilwagen

PhD thesis, 2010

2009

Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip data.

Michael Seifert, Jens Keilwagen, Marc Strickert, Ivo Grosse

Bioinform., 2009

Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data.

Marc Strickert, Jens Keilwagen, Frank-Michael Schleif, Thomas Villmann, Michael Biehl

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Array-based Genome Comparison of Arabidopsis Ecotypes using Hidden Markov Models.

Michael Seifert, Ali Banaei, Jens Keilwagen, Michael Florian Mette, Andreas Houben, François Roudier, Vincent Colot, Ivo Grosse, Marc Strickert

Proceedings of the BIOSIGNALS 2009, 2009

2008

Utilizing Promoter Pair Orientations for HMM-based Analysis of ChIP-chip Data.

Michael Seifert, Jens Keilwagen, Marc Strickert, Ivo Grosse

Proceedings of the German Conference on Bioinformatics, 2008

Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics.

Marc Strickert, Petra Schneider, Jens Keilwagen, Thomas Villmann, Michael Biehl, Barbara Hammer

Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

2007

Recognition of splice sites using maximum conditional likelihood.

Jens Keilwagen, Jan Grau, Stefan Posch, Ivo Grosse

Proceedings of the LWA 2007: Lernen - Wissen, 2007

On the relevance of model orders to discriminative learning of Markov models.

Jan Grau, Jens Keilwagen, Ivo Grosse, Stefan Posch

Proceedings of the LWA 2007: Lernen - Wissen, 2007

Supervised Posteriors for DNA-motif Classification.

Jan Grau, Jens Keilwagen, Alexander E. Kel, Ivo Grosse, Stefan Posch

Proceedings of the German Conference on Bioinformatics, 2007