activity
20152026
most citedUnderstanding the role of phenotypic switching in cancer drug resistance

79 citations · 139 across the 11 of their papers we have counts for

collaborators

15 papers

math.PR2026

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…

math.PR2023

Limit theorems for the site frequency spectrum of neutral mutations in an exponentially growing population

Einar Bjarki Gunnarsson, Kevin Leder, Xuanming Zhang

The site frequency spectrum (SFS) is a widely used summary statistic of genomic data. Motivated by recent evidence for the role of neutral evolution in cancer, we investigate the S…

q-bio.QM2023★ 14 cited

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…

q-bio.PE2023

Using birth-death processes to infer tumor subpopulation structure from live-cell imaging drug screening data

C. Wu, E. B. Gunnarsson, E. M. Myklebust +6

Tumor heterogeneity is a complex and widely recognized trait that poses significant challenges in developing effective cancer therapies. In particular, many tumors harbor a variety…

q-bio.PE2022

Dynamics of advantageous mutant spread in spatial death-birth and birth-death Moran models

Jasmine Foo, Einar Bjarki Gunnarsson, Kevin Leder +1

The spread of an advantageous mutation through a population is of fundamental interest in population genetics. While the classical Moran model is formulated for a well-mixed popula…

math.PR2021

Clonal Diversity at Cancer Recurrence

Kevin Leder, Zicheng Wang

Despite initial success, cancer therapies often fail due to the emergence of drug-resistant cells. In this study, we use a mathematical model to investigate how cancer evolves over…