Datasets and models for "A neural network model enables worm tracking in challenging conditions and increases signal-to-noise ratio in phenotypic screens"
Weheliye, Weheliye Hashi; Rodriguez, Javier; Feriani, Luigi; Javer, Avelino; Uhlmann, Virginie; Brown, André;
Datasets and models for "A neural network model enables worm tracking in challenging conditions and increases signal-to-noise ratio in phenotypic screens"
Training and testing data for several models used to track and estimate the pose for multiple overlapping worms in video data.See this paper for details: Weheliye H Weheliye, Javier Rodriguez, Luigi Feriani, Avelino Javer, Virginie Uhlmann, André EX Brown (2025) A neural network model enables worm tracking in challenging conditions and increases signal-to-noise ratio in phenotypic screensPLOS Computational Biology 21:e1013345https://doi.org/10.1371/journal.pcbi.1013345
- University of Zurich Switzerland
- Imperial College London United Kingdom
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average