Jens Keilwagen

Orcid: 0000-0002-6792-7076

According to our database1, Jens Keilwagen authored at least 23 papers between 2007 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2019
DepLogo: visualizing sequence dependencies in R.
Bioinform., 2019

2018
Combining RNA-seq data and homology-based gene prediction for plants, animals and fungi.
BMC Bioinform., 2018

2015
Computational Recognition of RNA Splice Sites by Exact Algorithms for the Quadratic Traveling Salesman Problem.
Comput., 2015

DiffLogo: a comparative visualization of sequence motifs.
BMC Bioinform., 2015

PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R.
Bioinform., 2015

2014
Exact algorithms and heuristics for the Quadratic Traveling Salesman Problem with an application in bioinformatics.
Discret. Appl. Math., 2014

A general approach for discriminative de novo motif discovery from high-throughput data.
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.
J. Bioinform. Comput. Biol., 2013

2012
Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences.
J. Mach. Learn. Res., 2012

2011
De-Novo Discovery of Differentially Abundant Transcription Factor Binding Sites Including Their Positional Preference.
PLoS Comput. Biol., 2011

2010
Unifying generative and discriminative learning principles.
BMC Bioinform., 2010

Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis.
BMC Bioinform., 2010

Vorhersage von DNA-Bindungsstellen mit generativen, diskriminativen und hybriden Lernverfahren.
Proceedings of the Ausgezeichnete Informatikdissertationen 2010, 2010

Predicting miRNA targets utilizing an Extended Profile HMM.
Proceedings of the German Conference on Bioinformatics 2010, 2010

Predicting DNA binding sites using generative, discriminative, and hybrid learning principles.
PhD thesis, 2010

2009
Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip data.
Bioinform., 2009

Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Array-based Genome Comparison of Arabidopsis Ecotypes using Hidden Markov Models.
Proceedings of the BIOSIGNALS 2009, 2009

2008
Utilizing Promoter Pair Orientations for HMM-based Analysis of ChIP-chip Data.
Proceedings of the German Conference on Bioinformatics, 2008

Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

2007
Recognition of splice sites using maximum conditional likelihood.
Proceedings of the LWA 2007: Lernen - Wissen, 2007

On the relevance of model orders to discriminative learning of Markov models.
Proceedings of the LWA 2007: Lernen - Wissen, 2007

Supervised Posteriors for DNA-motif Classification.
Proceedings of the German Conference on Bioinformatics, 2007


  Loading...