Dataset for: Photoacoustic tomography detects response and resistance to Bevacizumab in breast cancer mouse models.

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Authors
Quiros-Gonzalez, Isabel
Tomaszewski, Michal
Golinska, Monika
  Brown, Emma
Ansel-Bollepalli, Laura
Hacker, Lina
Couturier, Dominique-Laurent
Publication Date
2022-03-14
Type
Dataset
Metadata
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Citation
Quiros-Gonzalez, I., Tomaszewski, M., Golinska, M., Brown, E., Ansel-Bollepalli, L., Hacker, L., Couturier, D., et al. (2022). Dataset for: Photoacoustic tomography detects response and resistance to Bevacizumab in breast cancer mouse models. [Dataset]. https://doi.org/10.17863/CAM.81065
Description
Statistical analyses used to produce the figures in the associated manuscript. Detailed descriptions are contained within the R markdown and Prism files.
Format
One file prepared in Prism 7, can be opened by any Prism version later than that. All statistical modelling data processed within R. Raw imaging data is available by direct request to corresponding author (SEB).
Keywords
photoacoustic imaging, linear modelling
Relationships
Publication Reference: https://www.repository.cam.ac.uk/handle/1810/333749
Sponsorship
Cancer Research Uk (None)
Cancer Research UK (C14303/A17197)
Engineering and Physical Sciences Research Council (EP/N014588/1)
Cancer Research UK (C14303/A17197)
National Physical Laboratory (NPL) (unknown)
National Physical Laboratory (NPL) (unknown)
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.81065
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)