Jack Kuipers
Orcid: 0000-0001-5357-2705
According to our database1,
Jack Kuipers
authored at least 31 papers
between 2014 and 2024.
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Bibliography
2024
2023
The dual PC algorithm and the role of Gaussianity for structure learning of Bayesian networks.
Int. J. Approx. Reason., October, 2023
Bayesian Structure Learning and Sampling of Bayesian Networks with the <i>R</i> Package BiDAG.
J. Stat. Softw., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Single-cell mutation calling and phylogenetic tree reconstruction with loss and recurrence.
Bioinform., October, 2022
Multi-omics subtyping of hepatocellular carcinoma patients using a Bayesian network mixture model.
PLoS Comput. Biol., September, 2022
J. Comput. Graph. Stat., July, 2022
scAmpi - A versatile pipeline for single-cell RNA-seq analysis from basics to clinics.
PLoS Comput. Biol., 2022
Discovering gene regulatory networks of multiple phenotypic groups using dynamic Bayesian networks.
Briefings Bioinform., 2022
Joint Inference of Repeated Evolutionary Trajectories and Patterns of Clonal Exclusivity or Co-occurrence from Tumor Mutation Trees.
Proceedings of the Research in Computational Molecular Biology, 2022
Proceedings of the Research in Computational Molecular Biology, 2022
Proceedings of the International Conference on Probabilistic Graphical Models, 2022
2021
PLoS Comput. Biol., 2021
PLoS Comput. Biol., 2021
CoRR, 2021
Benchpress: a scalable and platform-independent workflow for benchmarking structure learning algorithms for graphical models.
CoRR, 2021
2020
Predicting colorectal cancer risk from adenoma detection via a two-type branching process model.
PLoS Comput. Biol., 2020
2018
Improved pathway reconstruction from RNA interference screens by exploiting off-target effects.
Bioinform., 2018
Proceedings of the Research in Computational Molecular Biology, 2018
Integrative Inference of Subclonal Tumour Evolution from Single-Cell and Bulk Sequencing Data.
Proceedings of the Research in Computational Molecular Biology, 2018
2017
pathTiMEx: Joint Inference of Mutually Exclusive Cancer Pathways and Their Progression Dynamics.
J. Comput. Biol., 2017
Detailed simulation of cancer exome sequencing data reveals differences and common limitations of variant callers.
BMC Bioinform., 2017
2016
Proceedings of the Research in Computational Molecular Biology - 20th Annual Conference, 2016
pathTiMEx: Joint Inference of Mutually Exclusive Cancer Pathways and Their Dependencies in Tumor Progression.
Proceedings of the Research in Computational Molecular Biology - 20th Annual Conference, 2016
2015
2014
Comput. Stat. Data Anal., 2014