Flexible and scalable Bayesian phylogenetics via modern machine learning

Project Member(s): Fourment, M.

Funding or Partner Organisation: National Institute of Health
National Institute of Health

Start year: 2021

Publications:

Fourment, M, Swanepoel, CJ, Galloway, JG, Ji, X, Gangavarapu, K, Suchard, MA & Matsen IV, FA 2023, 'Automatic Differentiation is no Panacea for Phylogenetic Gradient Computation', Genome Biology and Evolution, vol. 15, no. 6.
View/Download from: Publisher's site

FOR Codes: Expanding Knowledge in the Mathematical Sciences, Expanding Knowledge in the Biological Sciences, Control of Pests, Diseases and Exotic Species at Regional or Larger Scales, Phylogeny and comparative analysis, Bioinformatics and computational biology, Machine learning

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.