Petr Rysavý

According to our database, Petr Rysavý authored at least 13 papers between 2016 and 2025.

Collaborative distances:

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

2025

ExMAG: Learning of Maximally Ancestral Graphs.

Petr Rysavý, Pavel Rytír, Xiaoyu He, Georgios Korpas, Jakub Marecek

CoRR, March, 2025

An Algorithm to Calculate the <i>p</i>-Value of the Monge-Elkan Distance.

Petr Rysavý, Filip Zelezný

J. Comput. Biol., 2025

circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data.

Petr Rysavý, Alikhan Anuarbekov, Michaela Dostálová Merkerová, Jirí Kléma

BioData Min., 2025

2024

Learning Dynamic Bayesian Networks from Data: Foundations, First Principles and Numerical Comparisons.

Vyacheslav Kungurtsev, Petr Rysavý, Fadwa Idlahcen, Pavel Rytír, Ales Wodecki

CoRR, 2024

Causal Learning in Biomedical Applications.

Petr Rysavý, Xiaoyu He, Jakub Marecek

CoRR, 2024

GPACDA - circRNA-Disease Association Prediction with Generating Polynomials.

Petr Rysavý, Jirí Kléma, Michaela Dostálová Merkerová

Proceedings of the Bioinformatics and Biomedical Engineering, 2024

2023

Reference-free phylogeny from sequencing data.

Petr Rysavý, Filip Zelezný

BioData Min., January, 2023

Joint Problems in Learning Multiple Dynamical Systems.

Mengjia Niu, Xiaoyu He, Petr Rysavý, Quan Zhou, Jakub Marecek

CoRR, 2023

2022

circGPA: circRNA functional annotation based on probability-generating functions.

Petr Rysavý, Jirí Kléma, Michaela Dostálová Merkerová

BMC Bioinform., 2022

2019

Estimating sequence similarity from read sets for clustering next-generation sequencing data.

Petr Rysavý, Filip Zelezný

Data Min. Knowl. Discov., 2019

2017

Estimating Sequence Similarity from Contig Sets.

Petr Rysavý, Filip Zelezný

Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

2016

Geometric methods to accelerate <i>k</i>-means algorithms.

Petr Rysavý, Greg Hamerly

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data.

Petr Rysavý, Filip Zelezný

Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016