The PPC slope, in this case, provides information about the performances of the connectivity method as well as the right order in the identification of the connections.
Analysis of this data allowed for the comprehensive identification of the connections between promoter nucleosome positioning patterns and various transcription-dependent properties.
The classification of this information takes into account, for example, the type of disease; the type of system function; and the type of molecule endogenous or exogenous, allowing identification of the connections between the different canonical pathways.
The identification of this connection was only possible owing to the use of the data inferred from the Gene Ontology.
An acknowledgement that the identification of this connection is preliminary would be appropriate.
Not only identification of the underlying connection between GA and atherosclerosis, but also utility of GA as a monitoring indicator of glucose control in diabetes management requires further investigation.
Identification of the clique connection profile (CCP) was important to understanding the gene signature of CRC as the interacting genes in these cliques might be important for a function in a given biological process.
Every structural change requires a parameter identification of the active connections with respect to the considered time series, as will be explained later in the corresponding subsection.
In this respect, the identification of a connection between NOD2 and the NLRP subfamily adds evidence to the intricate network of protein-protein interactions underlying NLR function.
Through identification of a connection between the conformation of adsorbed peptide and the interactions of the peptide with the surface, this work suggests a route for the control of adsorbate conformation through peptide and surface engineering.
