Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2019
  2. Analysis of a genetic-metabolic oscillator with piecewise linear models

    Chaves, M., Oyarzun, D. & Gouze, J-L., 7 Feb 2019, In : Journal of Theoretical Biology. 462, p. 259-269 11 p.

    Research output: Contribution to journalArticle

  3. Resolving outbreak dynamics using approximate Bayesian computation for stochastic birth-death models

    Lintusaari, J., Blomstedt, P., Sivula, T., Gutmann, M., Kaski, S. & Corander, J., 25 Jan 2019, (Accepted/In press) In : Wellcome Open Research . 4, 14, 10 p.

    Research output: Contribution to journalArticle

  4. Are We There Yet? How and When Specific Biotechnologies Will Improve Human Health

    O'Day, E., Hosta‐Rigau, L., Oyarzun, D., Okano, H., de Lorenzo, V., von Kameke, C., Alsafar, H., Cao, C., Chen, G-Q., Ji, W., Roberts, R. J., Ronaghi, M., Yeung, K., Zhang, F. & Lee, S. Y., 10 Jan 2019, In : Biotechnology Journal. 14, 1, p. 1-11 11 p.

    Research output: Contribution to journalArticle

  5. Modelling socio-economic and energy data to generate business-as-usual scenarios for carbon emissions

    Roberts, S. H., Axon, C. J., Goddard, N. H., Foran, B. D. & Warr, B. S., 10 Jan 2019, In : Journal of Cleaner Production. 207, p. 980 - 997 18 p.

    Research output: Contribution to journalArticle

  6. Learning analytics adoption – approaches and maturity

    Tsai, Y-S., Kovanović, V. & Gasevic, D., 3 Jan 2019, (Accepted/In press). 2 p.

    Research output: Contribution to conferencePoster

  7. Probabilistic Programming with Densities in SlicStan: Efficient, Flexible, and Deterministic

    Gorinova, M. I., Gordon, A. D. & Sutton, C., 2 Jan 2019, In : Proceedings of the ACM on Programming Languages (PACMPL). 3, POPL, p. 35:1-35:30 30 p., 35.

    Research output: Contribution to journalArticle

  8. Dynamics of complex feedback architectures in metabolic pathways

    Chaves, M. & Oyarzun, D., 1 Jan 2019, In : Automatica. 99, p. 323-332 10 p.

    Research output: Contribution to journalArticle

  9. Exploration by random network distillation

    Burda, Y., Edwards, H., Storkey, A. & Klimov, O., 2019. 17 p.

    Research output: Contribution to conferencePaper

  10. Gene Regulatory Network Inference: An Introductory Survey

    Huynh-Thu, V. A. & Sanguinetti, G., 2019, Gene Regulatory Networks: Methods and Protocols. Sanguinetti, G. & Huynh-Thu, V. A. (eds.). New York, NY: Springer New York LLC, p. 1-23 23 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  11. Gene Regulatory Networks: Methods and Protocols

    Sanguinetti, G. (ed.) & Huynh-Thu, V. A. (ed.), 2019, Humana Press. 285 p. (Methods in Molecular Biology Series Volume; vol. 1883)

    Research output: Book/ReportBook

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