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Author

Thomas Hillerton

Observed name: Hillerton, Thomas
ORCID: 0000-0002-6362-0659
Observed ORCID: 0000-0002-6362-0659
OpenAlex ID: A5021044817
Uncovering cancer gene regulation by accurate regulatory network inference from uninformative data
2020 · Deniz Seçilmiş, Thomas Hillerton, et al. · npj Systems Biology and Applications · 22
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Fast and accurate gene regulatory network inference by normalized least squares regression
2022 · Thomas Hillerton, Deniz Seçilmiş, et al. · Bioinformatics · 20
Knowledge of the perturbation design is essential for accurate gene regulatory network inference
2022 · Deniz Seçilmiş, Thomas Hillerton, et al. · Scientific Reports · 16
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GRNbenchmark - a web server for benchmarking directed gene regulatory network inference methods
2022 · Deniz Seçilmiş, Thomas Hillerton, et al. · Nucleic Acids Research · 15
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Generation of Realistic Gene Regulatory Networks by Enriching for Feed-Forward Loops
2022 · Erik K. Zhivkoplias, Oleg Vavulov, et al. · Frontiers in Genetics · 9
Inferring the experimental design for accurate gene regulatory network inference
2021 · Deniz Seçilmiş, Thomas Hillerton, et al. · Bioinformatics · 9
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GeneSPIDER2: large scale GRN simulation and benchmarking with perturbed single-cell data
2024 · Mateusz Garbulowski, Thomas Hillerton, et al. · NAR Genomics and Bioinformatics · 7
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Precise and interpretable neural networks reveal epigenetic signatures of aging across youth in health and disease
2025 · David Martínez-Enguita, Thomas Hillerton, et al. · Frontiers in Aging · 5
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Epigenetic analyses suggest different pathways during pregnancy for development of type 1 diabetes in children with high versus low‐neutral human leukocyte antigen‐risk
2026 · Shamila D. Alipoor, Angelica Ahrens, et al. · Journal of Internal Medicine · 1
Protein-protein interaction priors shape biologically coherent latent spaces for causally concordant cross-omic translation
2025 · David Martínez-Enguita, Thomas Hillerton, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 1
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Predicting adverse drug reactions in cancer treatment using a neural network based approach
2018 · Thomas Hillerton · University Library of Skövde (University of Skövde) · 1
GeneSNAKE: a Python package for simulation of gene regulatory networks and perturbation-induced expression data
2026 · Thomas Hillerton, Anton Björk, et al. · Bioinformatics Advances
GeneSNAKE: a Python package for benchmarking and simulation of gene regulatory networks and perturbation-induced expression data
2025 · Thomas Hillerton, Anton Björk, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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System-level health profiling from blood DNA methylation with explainable deep learning
2025 · David Martínez-Enguita, Thomas Hillerton, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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Topology-based metrics for finding the optimal sparsity in gene regulatory network inference
2025 · Nils Lundqvist, Mateusz Garbulowski, et al. · Bioinformatics
Precise and interpretable neural networks reveal epigenetic signatures of aging in youth across health and disease
2024 · David Martínez-Enguita, Thomas Hillerton, et al. · Research Square
Works count: 18
Citation count: 106
H-index: 7
I10-index: 4
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