Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data. - Petr Rysavý; Filip Zelezný (IDA, 2016)

Geometric methods to accelerate k-means algorithms. - Petr Rysavý; Greg Hamerly (SDM, 2016)

Estimating Sequence Similarity from Contig Sets. - Petr Rysavý; Filip Zelezný (IDA, 2017)

Estimating sequence similarity from read sets for clustering next-generation sequencing data. - Petr Rysavý; Filip Zelezný (Data Min. Knowl. Discov., 2019)

circGPA: circRNA functional annotation based on probability-generating functions. - Petr Rysavý; Jirí Kléma; Michaela Dostálová Merkerová (BMC Bioinform., 2022)

Joint Problems in Learning Multiple Dynamical Systems. - Mengjia Niu; Xiaoyu He; Petr Rysavý; Quan Zhou; Jakub Marecek (CoRR, 2023)

Reference-free phylogeny from sequencing data. - Petr Rysavý; Filip Zelezný (BioData Min., 2023)

GPACDA - circRNA-Disease Association Prediction with Generating Polynomials. - Petr Rysavý; Jirí Kléma; Michaela Dostálová Merkerová (IWBBIO (1), 2024)

Causal Learning in Biomedical Applications. - Petr Rysavý; Xiaoyu He; Jakub Marecek (CoRR, 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)

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)

An Algorithm to Calculate the p-Value of the Monge-Elkan Distance. - Petr Rysavý; Filip Zelezný (J. Comput. Biol., 2025)

ExMAG: Learning of Maximally Ancestral Graphs. - Petr Rysavý; Pavel Rytír; Xiaoyu He; Georgios Korpas; Jakub Marecek (CoRR, 2025)