Tom Heskes, Ph.D.

Radboud University Nijmegen, Nijmegen, Gelderland, Netherlands 
"Tom Heskes"
Mean distance: 16.04 (cluster 23)
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Shapovalova Y, Heskes T, Dijkstra T. (2022) Non-parametric synergy modeling of chemical compounds with Gaussian processes. Bmc Bioinformatics. 23: 14
Wijayanto F, Mul K, Groot P, et al. (2020) Semi-automated Rasch analysis using in-plus-out-of-questionnaire log likelihood. The British Journal of Mathematical and Statistical Psychology
Lederer S, Heskes T, van Heeringen SJ, et al. (2020) Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis. Plos One. 15: e0231824
Lederer S, Dijkstra TMH, Heskes T. (2019) Additive Dose Response Models: Defining Synergy. Frontiers in Pharmacology. 10: 1384
Piray P, Dezfouli A, Heskes T, et al. (2019) Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies. Plos Computational Biology. 15: e1007043
Bucur IG, Claassen T, Heskes T. (2019) Inferring the direction of a causal link and estimating its effect via a Bayesian Mendelian randomization approach. Statistical Methods in Medical Research. 962280219851817
Bucur IG, Claassen T, Heskes T. (2019) Large-scale local causal inference of gene regulatory relationships International Journal of Approximate Reasoning. 115: 50-68
Cui R, Bucur IG, Groot P, et al. (2019) A novel Bayesian approach for latent variable modeling from mixed data with missing values Statistics and Computing. 29: 977-993
Lederer S, Dijkstra TMH, Heskes T. (2018) Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency Condition. Frontiers in Pharmacology. 9: 31
Cui R, Groot P, Heskes T. (2018) Learning causal structure from mixed data with missing values using Gaussian copula models Statistics and Computing. 29: 311-333
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