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ORCIDDaniel J. Wilson 0001
Person information
- affiliation: University of Oxford, Nuffield Department of Medicine, Oxford, UK
Other persons with the same name
- Daniel J. Wilson 0002 — Federal Reserve Bank of San Francisco, CA, USA
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2020 – today
- 2021
[j10]David W. Eyre
, Mirjam Laager, A. Sarah Walker, Ben S. Cooper, Daniel J. Wilson:
Probabilistic transmission models incorporating sequencing data for healthcare-associated Clostridioides difficile outperform heuristic rules and identify strain-specific differences in transmission. PLoS Comput. Biol. 17(1) (2021)- 2020
- [j9]Richard G. Everitt, Richard Culliford, Felipe J. Medina-Aguayo, Daniel J. Wilson:
Sequential Monte Carlo with transformations. Stat. Comput. 30(3): 663-676 (2020)
2010 – 2019
- 2019
- [j8]Samaneh Kouchaki, Yang Yang, Timothy M. Walker, A. Sarah Walker, Daniel J. Wilson, Timothy E. A Peto, Derrick W. Crook, CRyPTIC Consortium, David A. Clifton:
Application of machine learning techniques to tuberculosis drug resistance analysis. Bioinform. 35(13): 2276-2282 (2019) - [j7]Yang Yang, Timothy M. Walker, A. Sarah Walker, Daniel J. Wilson, Timothy E. A Peto, Derrick W. Crook, Farah Shamout, CRyPTIC Consortium, Tingting Zhu, David A. Clifton:
DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis. Bioinform. 35(18): 3240-3249 (2019) - 2018
- [j6]Yang Yang, Katherine E. Niehaus, Timothy M. Walker, Zamin Iqbal, A. Sarah Walker, Daniel J. Wilson, Tim E. A. Peto, Derrick W. Crook, E. Grace Smith, Tingting Zhu, David A. Clifton:
Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data. Bioinform. 34(10): 1666-1671 (2018) - [j5]Nicola De Maio, Colin J. Worby, Daniel J. Wilson, Nicole Stoesser:
Bayesian reconstruction of transmission within outbreaks using genomic variants. PLoS Comput. Biol. 14(4) (2018) - 2016
- [j4]Jessica Hedge, Daniel J. Wilson:
Practical Approaches for Detecting Selection in Microbial Genomes. PLoS Comput. Biol. 12(2) (2016) - [j3]Nicola De Maio, Chieh-Hsi Wu, Daniel J. Wilson:
SCOTTI: Efficient Reconstruction of Transmission within Outbreaks with the Structured Coalescent. PLoS Comput. Biol. 12(9) (2016) - 2015
- [j2]Xavier Didelot, Daniel J. Wilson:
ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes. PLoS Comput. Biol. 11(2) (2015) - 2013
- [j1]David W. Eyre, Madeleine L. Cule, David Griffiths, Derrick W. Crook, Tim E. A. Peto, A. Sarah Walker, Daniel J. Wilson:
Detection of Mixed Infection from Bacterial Whole Genome Sequence Data Allows Assessment of Its Role in Clostridium difficile Transmission. PLoS Comput. Biol. 9(5) (2013)
Coauthor Index
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