Neural-endocrine-immune (NEI) system, defined firstly by Besedovsky and Sorkin in 1977, is a closely interacted network among the nervous, endocrine and immune system [ 1].
We developed a gene function prediction method based on spatial gene-gene interaction networks, which predicts the function of a gene using the known functions of its spatially interacted neighbours (see Methods section for details).
The two results were quite different (see Supplementary Material and Figure S3), indicating that conventional stationary analysis method could not find dynamically interacted brain networks.
Considering that genes with co-occurring mutations tend to be functionally related, as revealed above, this result suggests that genes in a densely interacted local network structure (i.e., genes with many mutual interactions) tend to be more robust against errors (e.g., mutations) and have smaller lethality than those in a sparsely interacted local network structure.
List of interacted genes from the network was used as an input in NOA.
The permutation of the network structure was performed by maintaining network size, i.e., interacted proteins were permuted without altering the total number of protein interactions.
To characterize the network for gaze perception, we used functional magnetic resonance imaging (fMRI) together with a form of connectivity analyses known as psychophysiological interactions (PPIs) to identify brain regions that interacted with components of the core face network.
We are particularly interested in the way in which the deceased interacted with and managed his/her social network and the way in which personal relationships may have impacted on the ability to recognise and respond to risk of suicide.
Therefore, the highly interacted C domains are "hubs" in the network, which function to organize the local network modules.
Of the 11 wheat-rice interactions tested, wXA21-like1 interacted with 9 of them.
