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Anxiety and depression are debilitating and commonly co-occurring in young adolescents, yet few interventions are designed to treat both disorder classes together.
Two bipartite networks are created to clearly visualize the association of identified protein complexes with the disorder classes.
We have been able to associate the predicted complexes with 15 classes of disorders amongst 22 disorder classes.
In the medical literature, diseases are grouped in disorder classes according to an ontology of the biomedical domain [ 13].
They used it to generate two network projections: disease gene network and human disease network (which they found is clustered according to major disorder classes).
We then manually inspect and annotate each of the phenotype clusters with one of the 22 disorder classes based on the physiological system affected [ 73].
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The low level 20-40% disorder class for all disorder types were over-represented in the unstable protein class.
In the Goh et al. gene-based HPN, they denote the diseases according to their disorder class [ 1].
Figure 1 illustrates the architecture, in which the example concept 'Hyperkalemia' is classified to the disorder class by both classifiers.
For example, the two structural classes have very different dynamic properties, with the irregular secondary structure class being much less mobile than the disorder class.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com