Jack Kuipers

Orcid: 0000-0001-5357-2705

According to our database1, Jack Kuipers authored at least 31 papers between 2014 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Bayesian Causal Inference with Gaussian Process Networks.
CoRR, 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

Fair Clustering: A Causal Perspective.
CoRR, 2023

A Bayesian Take on Gaussian Process Networks.
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

Efficient Sampling and Structure Learning of Bayesian Networks.
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

Mapping Single-Cell Transcriptomes to Copy Number Evolutionary Trees.
Proceedings of the Research in Computational Molecular Biology, 2022

The Dual PC Algorithm for Structure Learning.
Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2021
Comparing mutational pathways to lopinavir resistance in HIV-1 subtypes B versus C.
PLoS Comput. Biol., 2021

Statistical tests for intra-tumour clonal co-occurrence and exclusivity.
PLoS Comput. Biol., 2021

Learning Bayesian Networks from Ordinal Data.
J. Mach. Learn. Res., 2021

Marginalization in Bayesian Networks: Integrating Exact and Approximate Inference.
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
Efficient Structure Learning and Sampling of Bayesian Networks.
CoRR, 2018

Improved pathway reconstruction from RNA interference screens by exploiting off-target effects.
Bioinform., 2018

SCIΦ: Single-Cell Mutation Identification via Phylogenetic Inference.
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
Multistate nested canalizing functions and their networks.
Theor. Comput. Sci., 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
Large-scale inference of conjunctive Bayesian networks.
Bioinform., 2016

Tree Inference for Single-Cell Data.
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
Uniform random generation of large acyclic digraphs.
Stat. Comput., 2015

2014
Sequential Monte Carlo EM for multivariate probit models.
Comput. Stat. Data Anal., 2014


  Loading...