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Statistical signature of subtle behavioral changes in large-scale assays

Fig 4

(A) Illustration of our phenotyping modeling strategy for each genotype.

From left to right: The behavior evolution on the experimental setup is reduced to the five tracked points of the larva; the extraction of a temporal window (shown in purple on the ethogram as an illustration) usually after the onset of the stimuli (shown as a vertical green line), the projection of the temporal window on the latent space using the encoder shown in Fig 3 and reduced here to a yellow box, each point in the latent space corresponds to one larval behavior during the selected time window, and the phenotype of the genotype is the distribution of all the points in the latent space regularized by a Gaussian kernel. (B) Illustration of the correspondence between statistical testing procedures based on discrete behavior categories with chi-squared tests and testing procedures based on continuous behavior with MMD. (C) Latent distributions of behavior (regularized by a Gaussian kernel): (C.1) of the reference line attP2 and (C.2) of the line 10A11. (C.3) Witness function between these two latent distributions, highlighting the main behavioral differences between the lines.

Fig 4

doi: https://doi.org/10.1371/journal.pcbi.1012990.g004