Article

VECTR-Clasp: An open machine learning and vector-based framework for objective quantification of hind-limb clasping and motor dysfunction in <i>Cdkl5</i> -deficient mice

2026-02-26

Abstract excerpt

Quantitative assessment of motor behaviour in rodents is central to the study of neurological disease, yet it remains constrained by manual categorical scoring systems that limit sensitivity, reproducibility, and the ability to detect subtle phenotypes. The hind-limb clasping assay, a standard test of motor dysfunction across many mouse models, is typically scored on an observer-defined categorical scale that may...

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Literature Corpus work: ce54bc3f-21cd-52fc-83e9-dddc301c3b8f
DOI: 10.64898/2026.02.25.707643

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VECTR-Clasp: An open machine learning and vector-based framework for objective quantification of hind-limb clasping and motor dysfunction in <i>Cdkl5</i> -deficient miceDOI 10.64898/2026.02.25.707643Read

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