Tideswell, Harry (2023) Nonparametric multivariate survival analysis of activated lymphocyte cell fates. Masters thesis, National University of Ireland Maynooth.
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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illustration further unpublished data collected during the experiments is used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) |
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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: | https://mu.eprints-hosting.org/id/eprint/17830 |
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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