On optimal multiple changepoint algorithms for large data
2016 · Statistics and Computing · 187 citations
https://doi.org/10.1007/s11222-016-9636-3
T
Toby Dylan Hocking
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Toby Dylan Hocking is an academic researcher from Université de Sherbrooke. The author has contributed to research in topics: Neuroblastoma Research and Treatments & Gene expression and cancer classification & Statistical Methods and Inference. The author has an h-index of 19, co-authored 122 publications.
ORCID: 0000-0002-3146-0865Papers by this author
worksLearning smoothing models of copy number profiles using breakpoint annotations
2013 · BMC Bioinformatics · 46 citations
https://doi.org/10.1186/1471-2105-14-164
A greedy graph search algorithm based on changepoint analysis for automatic QRS complex detection
2021 · Computers in Biology and Medicine · 10 citations
https://doi.org/10.1016/j.compbiomed.2021.104208
Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models
2021 · BMC Bioinformatics · 9 citations
https://doi.org/10.1186/s12859-021-04221-5
Cross-validation for training and testing co-occurrence network inference algorithms
2025 · BMC Bioinformatics · 1 citations
https://doi.org/10.1186/s12859-025-06083-7
A Graph-Constrained Changepoint Learning Approach for Automatic\n QRS-Complex Detection
2021 · arXiv (Cornell University) · 0 citations
https://doi.org/10.48550/arxiv.2102.01319
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