R. J. Noble

Selective sweep probabilities in spatially expanding populations

The paper calculates selective sweep probabilities in spatially expanding populations and finds they depend on mutant and wildtype expansion speeds and spatial dimension, with implications for tumour evolution.

Preventing evolutionary rescue in cancer

This paper develops a theoretical framework to optimize cancer treatment scheduling by exploiting stochastic extinction of small tumors, showing that switching to a second treatment when the tumor is near its minimum size maximizes eradication probability.

Robust, Universal Tree Balance Indices

This paper introduces new tree balance indices that are more universally applicable and robust compared to existing indices, particularly for non-bifurcating trees.

Paracrine behaviors arbitrate parasite-like interactions between tumor subclones

The paper shows that in vitro, one tumor subclone benefits from the presence of another by farming it through paracrine metabolites, enhancing its growth while reducing the loser's growth.

The logic of containing tumors

This paper shows that containing tumors at a maximum tolerable size can delay treatment failure better than eliminating them, using mathematical models and simulations.

When, why and how clonal diversity predicts future tumour growth

This study uses a spatial computational model to show how clonal diversity correlates with tumour growth rate under specific conditions and highlights its limitations compared to conventional biomarkers.