Norbert Dojer

According to our database, Norbert Dojer authored at least 14 papers between 2004 and 2023.

Collaborative distances:

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

2023

From de Bruijn Graphs to Variation Graphs - Relationships Between Pangenome Models.

Adam Cicherski, Norbert Dojer

Proceedings of the String Processing and Information Retrieval, 2023

2016

Learning Bayesian networks from datasets joining continuous and discrete variables.

Norbert Dojer

Int. J. Approx. Reason., 2016

2015

Optimally choosing PWM motif databases and sequence scanning approaches based on ChIP-seq data.

Michal Dabrowski, Norbert Dojer, Izabella Krystkowiak, Bozena Kaminska, Bartek Wilczynski

BMC Bioinform., 2015

2014

MSARC: Multiple sequence alignment by residue clustering.

Michal Modzelewski, Norbert Dojer

Algorithms Mol. Biol., 2014

2013

BNFinder2: Faster Bayesian network learning and Bayesian classification.

Norbert Dojer, Pawel Bednarz, Agnieszka Podsiadlo, Bartek Wilczynski

Bioinform., 2013

Efficient and Error-Tolerant Sequencing Read Mapping.

Piotr Jaroszynski, Norbert Dojer

Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

2011

Bi-Billboard: Symmetrization and Careful Choice of Informant Species Results in Higher Accuracy of Regulatory Element Prediction.

Norbert Dojer, Przemyslaw Biecek, Jerzy Tiuryn

J. Comput. Biol., 2011

2010

An Efficient Algorithm for Learning Bayesian Networks from Data.

Norbert Dojer

Fundam. Informaticae, 2010

Comparative analysis of cis-regulation following stroke and seizures in subspaces of conserved eigensystems.

Michal Dabrowski, Norbert Dojer, Malgorzata Zawadzka, Jakub Mieczkowski, Bozena Kaminska

BMC Syst. Biol., 2010

2009

Finding evolutionarily conserved cis-regulatory modules with a universal set of motifs.

Bartek Wilczynski, Norbert Dojer, Mateusz Patelak, Jerzy Tiuryn

BMC Bioinform., 2009

BNFinder: exact and efficient method for learning Bayesian networks.

Bartek Wilczynski, Norbert Dojer

Bioinform., 2009

2006

Applying dynamic Bayesian networks to perturbed gene expression data.

Norbert Dojer, Anna Gambin, Andrzej Mizera, Bartek Wilczynski, Jerzy Tiuryn

BMC Bioinform., 2006

Learning Bayesian Networks Does Not Have to Be NP-Hard.

Norbert Dojer

Proceedings of the Mathematical Foundations of Computer Science 2006, 2006

2004

Applying term rewriting to partial algebra theory.

Norbert Dojer

Fundam. Informaticae, 2004