Although we cannot attribute the gains in GeDI scores to specific elements of the Ferrets module, we suggest that computer simulations support learning for topics such as genetic drift.
To decide whether close modules should be merged, we suggest to use external information, e.g., gene ontology information, or to study module preservation in an independent data set.
As the functional modules are highly overlapped, we suggest that p is set from 0.3 to 0.8.
On the basis of these findings we suggest that modules underlying right parietal N200 could play a more crucial role in irrelevancy elimination despite the fact that previous studies [5] [6] have shown that contra lateral parietal activities, and not only right hemisphere, are correlated to objects maintenance in WM.
We suggest that parallel behavioral modules (e.g. appetitive, aversive) coexist within each individual bee and determine its tendency to adopt a given task.
In other words, instead of working directly on the stator current (time signal), we suggest working with the module of its Fourier transform.
Because coexpression implies shared function and/or regulation, ID-gene-enriched modules would suggest that the genes in these modules are potentially involved in ID-affected biological pathways.
Our analysis of common and cancer-type specific disrupted pathways will lead to a better understanding of cancer network modules, and suggest potential therapeutic targets for cancer treatment.
For SwfB, the combination of R and ST modules could suggest conversion of the terminal carboxylate to a primary sulphate group.
These findings, together with the pattern of interactions that these modules display, suggest that ScaC and ScaJ belong to a subtype of cohesin modules that is distinct from the rest of the type I modules.
