79 citations · 174 across the 15 of their papers we have counts for
16 papers
The Site Frequency Spectrum in an Exponentially Growing Population with Selection
Armaan Ahmed, Jasmine Foo, Einar Gunnarsson +1
We consider a supercritical two-type continuous-time linear birth-death process with mutation and selection, in which wild-type individuals give rise to mutant offspring with a lar…
Branching-Time Signatures of Growth Regime in Tumor Birth-Death Models
Meng Wang, Zhangchi Weng, Jasmine Foo +1
Tumor evolution is shaped by cell division, cell death, competition, and constraints imposed by the local microenvironment. Because these dynamics are usually not observed directly…
Optimal dosing of anti-cancer treatment under drug-induced plasticity
Einar Bjarki Gunnarsson, Benedikt Vilji Magnússon, Jasmine Foo
While cancer has traditionally been considered a genetic disease, mounting evidence indicates an important role for non-genetic (epigenetic) mechanisms. Common anti-cancer drugs ha…
A statistical framework for detecting therapy-induced resistance from drug screens
Chenyu Wu, Einar Bjarki Gunnarsson, Jasmine Foo +1
Resistance to therapy remains a significant challenge in cancer treatment, often due to the presence of a stem-like cell population that drives tumor recurrence post-treatment. Mor…
Prediction of cancer dynamics under treatment using Bayesian neural networks: A simulated study
Even Moa Myklebust, Arnoldo Frigessi, Fredrik Schjesvold +3
Predicting cancer dynamics under treatment is challenging due to high inter-patient heterogeneity, lack of predictive biomarkers, and sparse and noisy longitudinal data. Mathematic…
Statistical inference of the rates of cell proliferation and phenotypic switching in cancer
Einar Bjarki Gunnarsson, Jasmine Foo, Kevin Leder
Recent evidence suggests that nongenetic (epigenetic) mechanisms play an important role at all stages of cancer evolution. In many cancers, these mechanisms have been observed to i…