Integrating Approximate Bayesian Computation with Complex Agent-Based Models for Cancer Research. - Andrea Sottoriva; Simon Tavaré (COMPSTAT, 2010)

Modeling Evolutionary Dynamics of Epigenetic Mutations in Hierarchically Organized Tumors. - Andrea Sottoriva; Louis Vermeulen; Simon Tavaré (PLoS Comput. Biol., 2011)

Variation of mutational burden in healthy human tissues suggests non-random strand segregation and allows measuring somatic mutation rates. - Benjamin Werner; Andrea Sottoriva (PLoS Comput. Biol., 2018)

Spatially constrained tumour growth affects the patterns of clonal selection and neutral drift in cancer genomic data. - Ketevan Chkhaidze; Timon Heide; Benjamin Werner; Marc J. Williams; Weini Huang; Giulio Caravagna; Trevor A. Graham; Andrea Sottoriva (PLoS Comput. Biol., 2019)

The MOBSTER R package for tumour subclonal deconvolution from bulk DNA whole-genome sequencing data. - Giulio Caravagna; Guido Sanguinetti; Trevor A. Graham; Andrea Sottoriva (BMC Bioinform., 2020)

Mixtures of Neural Cellular Automata: A Stochastic Framework for Growth Modelling and Self-Organization. - Salvatore Milite; Giulio Caravagna; Andrea Sottoriva (CoRR, 2025)