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• W2890345738 abstract "Investigating the emergence of a particular cell type is a recurring theme in models of growing cellular populations. The evolution of resistance to therapy is a classic example. Common questions are: when does the cell type first occur, and via which sequence of steps is it most likely to emerge? For growing populations, these questions can be formulated in a general framework of branching processes spreading through a graph from a root to a target vertex. Cells have a particular fitness value on each vertex and can transition along edges at specific rates. Vertices represents cell states, say phenotypes or physical locations, while possible transitions are acquiring a mutation or cell migration. We focus on the setting where cells at the root vertex have the highest fitness and transition rates are small. Simple formulas are derived for the time to reach the target vertex and for the probability that it is reached along a given path in the graph. We demonstrate our results on several applications which include: the orderings of resistance-conferring mutations in bacteria and the impact of imperfect drug penetration in cancer." @default.
• W2890345738 created "2018-09-27" @default.
• W2890345738 creator A5017327074 @default.
• W2890345738 creator A5068238985 @default.
• W2890345738 date "2018-09-12" @default.
• W2890345738 modified "2023-09-26" @default.
• W2890345738 title "Competing paths over fitness valleys in growing populations" @default.
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• W2890345738 hasPublicationYear "2018" @default.
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