An Exact Hypergraph Matching algorithm for posture identification in embryonic C. elegans
Table 2
Hypergraphical models leveraged Q neuroblasts to more accurately identify posture.
The samples were split according to the absence (left) or presence (right) of the Q neuroblasts, which form in the last two hours of development. There were 875 n1=20 cell (pre-Q) samples and 389 n1=22 cell (post-Q) samples. Hypergraphical models Pairs and Posture more accurately identified posture in the post-Q samples than the pre-Q samples, suggesting the increased continuity along the body enhanced posture modeling.