A larger number of modules would be able to distinguish finer patterns, but is also more prone to overfitting, to separating co-regulated genes into separate modules, and to inferring "transitions" between modules that are erroneous, thus over estimating divergence.
The finding that grooming behavior displays both sequential and cyclic transitions between modules offers an extension to our understanding of the flexibility of parallel models in producing different types of serial behavior.
Thus, simple modifications to the infrastructure underlying parallel models could produce different types of transition dynamics between modules (i.e., sequential progression and oscillatory dynamics).
10.7554/eLife.02951.027 Figure 5. Hierarchical suppression mediates the cyclic transitions between cleaning modules.
Our findings here are consistent with the idea that bottlenecks in coabundance networks represent transitions between functional modules, and show that bottlenecks and hubs from proteomics-based networks may have similar properties as those from transcriptomics-based networks.
The motion language module statistically learns association between motions and words, and the natural language module learns transition between two words in the sentences.
Anatomical between-module connectivity was globally decreased.
We tested for the differential expression of the PIN-derived network modules and for changes in the correlation within the modules, associated with transition between disease states.
E. coli cells transformed with the synthetic SIM module underwent controllable transition between a high-fidelity state and a mutagenic state upon addition of different inducers.
In order to determine the transition probabilities between states in the Markov chain above, we first considered the state transition of modules in reprogramming.
