SiGMoiD: A super-statistical generative model for binary data
Fig 3
SiGMoiD models bacterial co-occurrences and interactions.
(A) the probabilities of co-occurrence of multiple OTUs in a single particle. Black circles represent the data, the blue line and shaded blue region represents the SiGMoiD predictions and standard deviations around the predictions, and the red line represents a prediction based on mean occupancies of OTUs. (B) Clustergram showing similarity in features between OTUs. The identified outgroup is marked red. (C) PCA of 3 clusters identified using particle-specific latents βs. (d) (upper half) Co-occurrence frequencies of 10 OTUs whose occurrence frequency was most significantly different in cluster 3 compared to the baseline co-occurrence frequencies of the same OTUs (bottom half).