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Fluent statistical computing interfaces for biological data analysis

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thesis
posted on 01.11.2020, 22:25 by STUART ANDREW LEE
This work contributes new computing interfaces for the analysis of data collected from technologies that measure changes in biology, like gene expression. The first interface is a new tool that unites data measured along the genome under a common language of transformation. This interface enables analysts to interpret and combine multiple results from different technologies in a clear and simple way. The second interface provides a framework for identifying interesting regions along the genome. The third interface empowers analysts to interrogate complex models using visual diagnostics. All are provided as open source software packages.

History

Campus location

Australia

Principal supervisor

Dianne Helen Cook

Additional supervisor 1

Matthew Ritchie

Additional supervisor 2

Paul Harrison

Year of Award

2020

Department, School or Centre

Econometrics and Business Statistics

Course

Doctor of Philosophy

Degree Type

DOCTORATE