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ORCIDJens Keilwagen
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2010 – 2019
- 2019
[j12]Jan Grau
, Martin Nettling, Jens Keilwagen:
DepLogo: visualizing sequence dependencies in R. Bioinform. 35(22): 4812-4814 (2019)- 2018
- [j11]Jens Keilwagen, Frank Hartung, Michael Paulini, Sven Twardziok, Jan Grau:
Combining RNA-seq data and homology-based gene prediction for plants, animals and fungi. BMC Bioinform. 19(1): 189:1-189:12 (2018) - 2015
- [j10]Jan Grau, Ivo Grosse, Jens Keilwagen:
PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R. Bioinform. 31(15): 2595-2597 (2015) - [j9]Martin Nettling, Hendrik Treutler, Jan Grau, Jens Keilwagen, Stefan Posch, Ivo Grosse:
DiffLogo: a comparative visualization of sequence motifs. BMC Bioinform. 16: 387:1-387:9 (2015) - [j8]Anja Fischer, Frank Fischer, Gerold Jäger, Jens Keilwagen, Paul Molitor, Ivo Grosse:
Computational Recognition of RNA Splice Sites by Exact Algorithms for the Quadratic Traveling Salesman Problem. Comput. 3(2): 285-298 (2015) - 2014
- [j7]Anja Fischer, Frank Fischer, Gerold Jäger, Jens Keilwagen, Paul Molitor, Ivo Grosse:
Exact algorithms and heuristics for the Quadratic Traveling Salesman Problem with an application in bioinformatics. Discret. Appl. Math. 166: 97-114 (2014) - [c9]Jan Grau, Stefan Posch, Ivo Grosse, Jens Keilwagen:
A general approach for discriminative de novo motif discovery from high-throughput data. GCB 2014: 41-43 - 2013
- [j6]Jan Grau, Jens Keilwagen, André Gohr, Ivan A. Paponov, Stefan Posch, Michael Seifert, Marc Strickert, Ivo Grosse:
Dispom: a Discriminative de-novo Motif Discovery Tool Based on the Jstacs Library. J. Bioinform. Comput. Biol. 11(1) (2013) - 2012
- [j5]Jan Grau, Jens Keilwagen, André Gohr, Berit Haldemann, Stefan Posch, Ivo Grosse:
Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences. J. Mach. Learn. Res. 13: 1967-1971 (2012) - 2011
- [j4]Jens Keilwagen, Jan Grau, Ivan A. Paponov, Stefan Posch, Marc Strickert, Ivo Grosse:
De-Novo Discovery of Differentially Abundant Transcription Factor Binding Sites Including Their Positional Preference. PLoS Comput. Biol. 7(2) (2011) - 2010
- [b1]Jens Keilwagen:
Predicting DNA binding sites using generative, discriminative, and hybrid learning principles. Martin Luther University of Halle-Wittenberg, 2010, pp. 1-131 - [j3]Jens Keilwagen, Jan Grau, Stefan Posch, Marc Strickert, Ivo Grosse:
Unifying generative and discriminative learning principles. BMC Bioinform. 11: 98 (2010) - [j2]Jens Keilwagen, Jan Grau, Stefan Posch, Ivo Grosse:
Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis. BMC Bioinform. 11: 149 (2010) - [c8]Jan Grau, Daniel Arend, Ivo Grosse, Artemis G. Hatzigeorgiou, Jens Keilwagen, Manolis Maragkakis, Claus Weinholdt, Stefan Posch:
Predicting miRNA targets utilizing an Extended Profile HMM. GCB 2010: 81-91 - [p1]Jens Keilwagen:
Vorhersage von DNA-Bindungsstellen mit generativen, diskriminativen und hybriden Lernverfahren. Ausgezeichnete Informatikdissertationen 2010: 131-140
2000 – 2009
- 2009
- [j1]Michael Seifert, Jens Keilwagen, Marc Strickert, Ivo Grosse:
Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip data. Bioinform. 25(16): 2118-2125 (2009) - [c7]Michael Seifert, Ali Banaei, Jens Keilwagen, Michael Florian Mette, Andreas Houben, François Roudier, Vincent Colot, Ivo Grosse, Marc Strickert:
Array-based Genome Comparison of Arabidopsis Ecotypes using Hidden Markov Models. BIOSIGNALS 2009: 3-11 - [c6]Marc Strickert, Jens Keilwagen, Frank-Michael Schleif, Thomas Villmann, Michael Biehl:
Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data. IWANN (1) 2009: 933-940 - 2008
- [c5]Marc Strickert, Petra Schneider, Jens Keilwagen, Thomas Villmann, Michael Biehl, Barbara Hammer:
Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics. ANNPR 2008: 78-89 - [c4]Michael Seifert, Jens Keilwagen, Marc Strickert, Ivo Grosse:
Utilizing Promoter Pair Orientations for HMM-based Analysis of ChIP-chip Data. German Conference on Bioinformatics 2008: 116-127 - 2007
- [c3]Jan Grau, Jens Keilwagen, Alexander E. Kel, Ivo Grosse, Stefan Posch:
Supervised Posteriors for DNA-motif Classification. German Conference on Bioinformatics 2007: 123-134 - [c2]Jan Grau, Jens Keilwagen, Ivo Grosse, Stefan Posch:
On the relevance of model orders to discriminative learning of Markov models. LWA 2007: 61-66 - [c1]Jens Keilwagen, Jan Grau, Stefan Posch, Ivo Grosse:
Recognition of splice sites using maximum conditional likelihood. LWA 2007: 67-72
Coauthor Index
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