Student seminar
The event has passed

Master Thesis presentation, Anna Källsgård

Non-parametric methods for quantifying the Allee effect

Overview

The event has passed
  • Date:Starts 9 February 2023, 10:00Ends 9 February 2023, 11:00
  • Seats available:18
  • Location:
    MV:L15, Chalmers tvärgata 3
  • Language:English

Abstract: The Allee effect is a phenomenon that has been extensively studied in ecology and is characterized by the per-capita growth rate of a population being low, zero, or even negative in small populations. Recent studies have shown the effect being present within human cancer cell populations. This thesis formulates two non-parametric methods to quantify the Allee effect among cancer cell populations. An agent-based model for cell population dynamics was formulated and used to generate simulated datasets, and microscopic images of cervical cancer cells constitute an in vitro dataset. Promising results were achieved for large simulated datasets. The in vitro dataset considered for this thesis was not of sufficient size for reliable inference, implying the need for large, high-quality datasets for future studies.

Examiner: Philip Gerlee
Supervisor: Philip Gerlee, Gustav Lindwall
Opponent​: Alexander Thorén