FrameTree: mapping data trees onto frames
Description
In this presentation, Dr. Tom Close presents FrameTree, a Python framework that is used to map categorical data organised into trees onto virtual "data frames" for analysis. Imaging data is typically stored within tree-structured data repositories, such as the XNAT platform used by the Australian Imaging Service. This structure reflects how the data is acquired and classified by projects, subjects, visits, etc… However, for the datasets to be statistically analysed, the data need to be arranged within data frames. Frametree provides a framework perform this mapping by overlaying virtual rows and columns onto the trees the data are stored in, thereby facilitating analysis of the imaging data in place.
The presentation was given at the foundingGIDE Community Meeting in Okazaki, Japan (31 October–01 November 2024). foundingGIDE: founding a Global Imaging Data Ecosystem is a EU Horizon-funded project between Euro-BioImaging ERIC, EMBL-EBI, Consiglio Nazionale delle Ricerche (Italy), German BioImaging, Global BioImaging, RIKEN (Japan), Microscopy Australia and Australian National Imaging Facility.
More information on the project at: https://founding-gide.eurobioimaging.eu.
Files
foundingGIDE2024_TomClose.pptx.pdf
Files
(3.5 MB)
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Additional details
Software
- Repository URL
- https://github.com/ArcanaFramework/frametree
- Programming language
- Python