CORDIS Project
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This project develops methods for analyzing time-series data based on counts, particularly from ribonucleic acid sequencing experiments. It aims to identify differences between count data time series, enabling applications in fields like economics and biology, with a focus on improving treatments for neurodegenerative…
The aim of this project is to develop methods for analysis of time-series based on count data.
For example, detecting significant differences between two count data time series would distinguish between two different models: one in which the two time series are interchangeable, and one in which the second sample is a modification of the first, i.e. the two time series are non-interchangeable.
This will broaden the target of my project to general analysis of count time-series data such as cluster…
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