A novel naïve Bayes approach to identifying grooming behaviors in the force-plate actometric platform.

Collin J AndersonRoberto CadedduDaria Nesterovich AndersonJob A HuxfordEaston R VanLuikKaren OdehChristopher Pittenger Stefan M Pulst Marco Bortolato

Published in: bioRxiv : the preprint server for biology (2023)

Our novel approach enables fast and accurate automated detection of grooming behaviors. This method holds promise for high-throughput assessments of grooming stereotypies in animal models of tic disorders and other psychiatric conditions.

Keyphrases

high throughput
single cell
mental health
high resolution
single molecule
loop mediated isothermal amplification
big data
machine learning
deep learning
label free
mass spectrometry
artificial intelligence