Publications
Publications
Kinney, D. & Watson, D. (2020). Causal feature learning for utility-maximizing agents. Accepted to International Conference on Probabilistic Graphical Models. arXiv preprint, 2005.08792.
Nicholls, H.L., John, C.R., Watson, D., Munroe, P.B., Barnes, M.R., & Cabrera, C.P. (2020). Reaching the end-game for GWAS: Machine learning approaches for the prioritization of complex disease loci. Frontiers in Genetics, 11, 350. DOI: 10.3389/fgene.2020.00350.
Watson, D. & Floridi, L. (2020). The explanation game: A formal framework for interpretable machine learning. Synthese. DOI: 10.1007/s11229-020-02629-9.
John, C.R., Watson, D., Russ, D., Goldmann, K., Ehrenstein, M., Pitzalis, C., … Barnes, M. (2020). M3C: Monte Carlo reference-based consensus clustering. Scientific Reports, 10(1), 1816. DOI: 10.1038/s41598-020-58766-1.
Watson, D. (2019). The rhetoric and reality of anthropomorphism in artificial intelligence. Minds & Machines, 29(3), 417-440. DOI: 10.1007/s11023-019-09506-6.
John, C.R., Watson, D., Barnes, M.R., Pitzalis, C., & Lewis, M. (2019). Spectrum: Fast density-aware spectral clustering for single and multi-omic data. Bioinformatics. DOI: 10.1093/bioinformatics/btz704.
Watson, D. (2019). The price of discovery: A model of scientific research markets. In Öhman, C. & Watson, D. (Eds.), The 2018 Yearbook of the Digital Ethics Lab. Heidelberg: Springer. DOI: 10.1007/978-3-030-17152-0_5.
Öhman, C. & Watson, D. (Eds.) (2019). The 2018 Yearbook of the Digital Ethics Lab. Heidelberg: Springer. DOI: 10.1007/978-3-030-17152-0.
Öhman, C. & Watson, D. (2019). Are the dead taking over Facebook? A big data approach to the future of death online. Big Data & Society, 6(1), 1-13. DOI: 10.1177/2053951719842540.
Watson, D., Krutzinna, J., Bruce, I.N., Griffiths, C.E.M., McInnes, I.B., Barnes, M.R., & Floridi, L. (2019). Clinical applications of machine learning algorithms: Beyond the black box. BMJ, 364. DOI: 10.1136/bmj.l886.
O’Toole, S.M., Watson, D., Novoselova, T.V., Romano, L.E.L., King, P., Bradshaw, T.Y., … Chapple, J.P. (2019). Oncometabolite induced primary cilia loss in pheochromocytoma. Endocrine-Related Cancer, 26(1), 165-180. DOI: 10.1530/ERC-18-0134.
Watson, D. & Floridi, L. (2018). Crowdsourced science: Sociotechnical epistemology in the e-research paradigm. Synthese, 195(2), 741–764. DOI: 10.1007/s11229-016-1238-2.
Foulkes, A.C., Watson, D., Carr, D.F., Kenny, J.G., Slidel, T., Parslew, R., … Barnes, M.R. (2018). A framework for multi-omic prediction of treatment response to biologic therapy for psoriasis. Journal of Investigative Dermatology. DOI: 10.1016/j.jid.2018.04.041.
Cabrera, C.P., Manson, J., Shepherd, J.M., Torrance, H.D., Watson, D., Longhi, M.P., … Brohi, K. (2017). Signatures of inflammation and impending multiple organ dysfunction in the hyperacute phase of trauma: A prospective cohort study. PLOS Medicine, 14(7), e1002352. DOI: 10.1371/journal.pmed.1002352.
Foulkes, A.C., Watson, D., Griffiths, C.E.M., Warren, R.B., Huber, W., & Barnes, M.R. (2017). Research techniques made simple: Bioinformatics for genome-scale biology. Journal of Investigative Dermatology, 137(9), e163–e168. DOI: 10.1016/j.jid.2017.07.095.