Jan Grau

Orcid: 0009-0006-0565-2034

According to our database1, Jan Grau authored at least 24 papers between 2005 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
SAKE: A Semantic Authoring and Annotation Tool for Knowledge Extraction.
Proceedings of the Joint Proceedings of Posters, 2024

Gaze-based Opportunistic Privacy-preserving Human-Agent Collaboration.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2019
PrediTALE: A novel model learned from quantitative data allows for new perspectives on TALE targeting.
PLoS Comput. Biol., 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

2017
InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites.
Bioinform., 2017

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
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
Computational Predictions Provide Insights into the Biology of TAL Effector Target Sites.
PLoS Comput. Biol., 2013

Dispom: a Discriminative de-novo Motif Discovery Tool Based on the Jstacs Library.
J. Bioinform. Comput. Biol., 2013

TALENoffer: genome-wide TALEN off-target prediction.
Bioinform., 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
Discriminative Bayesian principles for predicting sequence signals of gene regulation
PhD thesis, 2010

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

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

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

2007
Recognition of cis-Regulatory Elements with Vombat.
J. Bioinform. Comput. Biol., 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

2006
VOMBAT: prediction of transcription factor binding sites using variable order Bayesian trees.
Nucleic Acids Res., 2006

2005
Identification of transcription factor binding sites with variable-order Bayesian networks.
Bioinform., 2005


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