https://github.com/laulauthom/interactive-embedding-kidney

This repo contains the files to generate an interactive view of a feature set in the tensorflow embedding projector interface.
https://github.com/laulauthom/interactive-embedding-kidney

embeddings features screening tensorflow-examples visualization zebrafish zebrafish-phenotypes

Last synced: 15 days ago
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This repo contains the files to generate an interactive view of a feature set in the tensorflow embedding projector interface.

• Host: GitHub
• URL: https://github.com/laulauthom/interactive-embedding-kidney
• Owner: LauLauThom
• License: bsd-2-clause
• Created: 2020-10-07T14:53:55.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2020-11-04T15:24:57.000Z (about 4 years ago)
• Last Synced: 2024-11-03T07:24:36.083Z (2 months ago)
• Topics: embeddings, features, screening, tensorflow-examples, visualization, zebrafish, zebrafish-phenotypes
• Homepage: http://projector.tensorflow.org/?config=https://raw.githubusercontent.com/LauLauThom/interactive-embedding-kidney/main/configTFvis.json
• Size: 134 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# interactive-embedding-kidney

This repo contains the file to generate an interactive view of a feature set in the tensorflow embedding projector web-interface.  

Click [here](http://projector.tensorflow.org/?config=https://raw.githubusercontent.com/LauLauThom/interactive-embedding-kidney/main/configTFvis.json) to open the interactive figure directly !

A similar visualization can be done with KNIME. Get the [workflow](https://kni.me/w/O3Q36l_xNLQ85IRg).

The features are derived from a toxicity screening in Zebrafish.  

See the associated paper

Westhoff, J. H., Steenbergen, P. J., Thomas, L. S. V., Heigwer, J., Bruckner, T., Cooper, L., Tönshoff, B., Hoffmann, G. F. and Gehrig, J. (2020).   

_In vivo High-Content Screening in Zebrafish for Developmental Nephrotoxicity of Approved Drugs_

Front Cell Dev Biol 8, 583,   

https://doi.org/10.3389/fcell.2020.00583