Ivo Grosse
Orcid: 0000-0001-5318-4825Affiliations:
- Martin Luther University of Halle-Wittenberg, Germany
According to our database1,
Ivo Grosse
authored at least 53 papers
between 1997 and 2021.
Collaborative distances:
Collaborative distances:
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Bibliography
2021
2019
Prediction of regulatory targets of alternative isoforms of the epidermal growth factor receptor in a glioblastoma cell line.
BMC Bioinform., 2019
2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
2017
Combining phylogenetic footprinting with motif models incorporating intra-motif dependencies.
BMC Bioinform., 2017
Bioinform., 2017
InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites.
Bioinform., 2017
2016
2015
Computational Recognition of RNA Splice Sites by Exact Algorithms for the Quadratic Traveling Salesman Problem.
Comput., 2015
BiNChE: A web tool and library for chemical enrichment analysis based on the ChEBI ontology.
BMC Bioinform., 2015
BMC Bioinform., 2015
PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R.
Bioinform., 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Exact algorithms and heuristics for the Quadratic Traveling Salesman Problem with an application in bioinformatics.
Discret. Appl. Math., 2014
DRUMS: Disk Repository with Update Management and Select option for high throughput sequencing data.
BMC Bioinform., 2014
Proceedings of the German conference on bioinformatics 2014, September 28, 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
Explorative Analysis of Heterogeneous, Unstructured, and Uncertain Data - A Computer Science Perspective on Biodiversity Research.
Proceedings of the DATA 2014, 2014
Proceedings of the Algorithms for Computational Biology - First International Conference, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
J. Bioinform. Comput. Biol., 2013
Bayesian Conditional Gaussian Network Classifiers with Applications to Mass Spectra Classification.
CoRR, 2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Extended Sunflower Hidden Markov Models for the recognition of homotypic cis-regulatory modules}.
Proceedings of the German Conference on Bioinformatics 2013, 2013
2012
Parsimonious Higher-Order Hidden Markov Models for Improved Array-CGH Analysis with Applications to <i>Arabidopsis thaliana</i>.
PLoS Comput. Biol., 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
Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models.
Bioinform., 2011
2010
Nucleic Acids Res., 2010
BMC Bioinform., 2010
Proceedings of the German Conference on Bioinformatics 2010, 2010
2009
Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip data.
Bioinform., 2009
Array-based Genome Comparison of Arabidopsis Ecotypes using Hidden Markov Models.
Proceedings of the BIOSIGNALS 2009, 2009
2008
Proceedings of the German Conference on Bioinformatics, 2008
2007
J. Integr. Bioinform., 2007
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
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
Proceedings of the Data Integration in the Life Sciences, Third International Workshop, 2006
2005
Identification of transcription factor binding sites with variable-order Bayesian networks.
Bioinform., 2005
2004
Extreme Value Distribution Based Gene Selection Criteria for Discriminant Microarray Data Analysis Using Logistic Regression.
J. Comput. Biol., 2004
2003
Gene selection criterion for discriminant microarray data analysis based on extreme value distributions.
Proceedings of the Sventh Annual International Conference on Computational Biology, 2003
2002
Comput. Chem., 2002
1997
Proceedings of the 8th IEEE Visualization Conference, 1997