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The algorithm that counts the number of overlapping molecules and/or molecular relations between the extracted network and the canonical network identifies the canonical network showing the most statistically significant contribution to the extracted network.
The algorithm counting the number of overlapping molecular relations between the extracted network and the canonical pathway makes it possible to identify the canonical pathway showing the most significant contribution to the extracted network [ 12, 17].
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The Event Ontology covers (i) classification of molecular interactions, (ii) relations between pathways and subpathways, (iii) relations between pathways and biological phenomena, (iv) classification of subpathways based on molecule names (MoleculeRole Ontology) and (v) relations between subpathways and regulated pathways.
The bond order parameters of molecular structure may determine the active sites where chemical bonds break down, thereby to infer the relations between molecular structure and its pyrolysis.
Relations between molecular structures of europium complexes and their luminescent properties were investigated.
The central task is to provide useful relations between molecular parameters and thermodynamic properties.
It incorporates an ontological classification whereby the relations between molecular entities are specified.
Using our approach we also rediscovered known relations between molecular pathways.
The relations between starch molecular structure, architecture and functional properties are discussed.
This visualization allows the user to examine relations between different molecular data at specific known genomic locations, but it is impossible to reveal new trans-regulative relations.
Darden (2005) argues that both reduction and replacement fail to capture the relations between classical and molecular genetics.
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