Powerful and interpretable behavioural features for quantitative phenotyping of Caenorhabditis elegans.

ABSTRACT: Behaviour is a sensitive and integrative readout of nervous system function and therefore an attractive measure for assessing the effects of mutation or drug treatment on animals. Video data provide a rich but high-dimensional representation of behaviour, and so the first step of analysis is often some form of tracking and feature extraction to reduce dimensionality while maintaining relevant information. Modern machine-learning methods are powerful but notoriously difficult to interpret, while handcrafted features are interpretable but do not always perform as well. Here, we report a new set of handcrafted features to compactly quantify Caenorhabditis elegans behaviour. The features are designed to be interpretable but to capture as much of the phenotypic differences between worms as poss

SUBMITTER: Javer A 

PROVIDER: S-EPMC6158219 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature