Article
GESTURE: unsupervised genotype-specific behavioral phenotyping in rodents via graph-based representation learning
2026-08-13
Abstract excerpt
<h4>Objective: </h4> quantification of complex animal behavior is fundamental to neuroscience and pharmacology, yet extracting biologically meaningful insights from high-dimensional pose data remains challenging. This is especially true for subtle phenotypic differences caused by genetic mutations, which frequently evade conventional evaluation metrics. Here, we introduce GESTURE, an unsupervised, graph-based deep...
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Identifiers and source
- Literature Corpus work
- 1e710ff7-463b-5a9f-ab5e-ac102d3cd1b1
- DOI
- 10.64898/2026.08.07.743267
