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A major strength of visualizing gene expression data layered onto interaction networks is that the networks contain large numbers of molecular relationships, only some of which might be discoverable from the published literature.
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This could be due to the fact that the molecular relationships in RRGS_HYB were gametic relationships, where only half of the molecular data of hybrid individuals were used to relate them to each of their two parents.
Two molecular relationships (i.e., two symmetry elements) lead to more stable packings (types A– C) in Figure 10a than structures where only one molecular relationship links adjacent O H···O C11 6) chains (types D GG).
Disentangling molecular relationships with a causal inference test.
Roth, R. B. et al. Gene expression analyses reveal molecular relationships among 20 regions of the human CNS.
Pathways are graphical representations of the molecular relationships between molecules.
Assuming the molecular relationship is correct, six extra morphological steps (homoplasies) are required to account for this new relationship.
Therefore, RRGS_PAR used two population-specific molecular relationship matrices.
Secondly, we focused only on biomedical-molecular relationships whose semantic type and cardinality allow straightforward transitive relationships, as formalized in a set of novel rules that we defined in the Methods section.
There are 45 different molecular structures, only one of which has insecticidal power.
But, consider that of the 4,000 diseases for which we have the exact molecular basis, only 250 have treatments available.
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