Tideswell, Harry
(2023)
Nonparametric multivariate
survival analysis of activated
lymphocyte cell fates.
Masters thesis, National University of Ireland Maynooth.
Abstract
Upon challenge, lymphocytes multiply and diversify to combat the infection,
however, the mechanisms that drive this process are not well understood. A
theoretical model has been proposed to explain how a diverse selection of
cell fates is achieved, the Cyton model [Hawkins et al, 2007, PNAS]. In that
model the censorship caused by competing drives for lymphocytes to undergo
certain fates results in complex correlations and impacts the observed
distribution of times to cellular events. In [Duffy et al, 2012, Science] the
competition hypothesis is tested for consistency with data collected using
a novel experimental procedure. Through the implementation and development
of a collection of multivariate nonparametric statistical techniques, we
create a set of tools that can aid the study of competition hypotheses in
biological systems. As a worked example these tools are used to study data
collected for the experiments in [Duffy et al, 2012, Science] to challenge some
of the underlying assumptions of their parametric analysis. As an additional
illustration further unpublished data collected during the experiments is used
to study the time at which B cells divide, die and differentiate when they
have already undergone class switching, allowing us to address the question
of a cell type dependent change.
| Item Type: |
Thesis
(Masters)
|
| Keywords: |
Nonparametric multivariate
survival analysis; activated
lymphocyte cell fates; |
| Academic Unit: |
Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: |
17830 |
| Depositing User: |
IR eTheses
|
| Date Deposited: |
14 Nov 2023 14:25 |
| URI: |
|
| Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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