In this study, we focused on two broad issues in TRN inference: (1) development of an analysis method that utilizes multiple types of data and (2) network analysis at the network motif level.
Respondents were only included in this category once, even if they had utilized multiple types of health care.
By employing this type of architecture, clients are able to move to a new authentication vendor, use physical access devices already being utilized for other purposes, and use multiple types of authentication methods across a company's network.
Furthermore, each cell type can utilize multiple mechanisms of osmoregulation.
We utilize multiple layers of physical and logistical redundancy to achieve this goal.
Recent attempts to characterize the GBM epigenetic/genetic landscape have utilized integrative, systems biology approaches that include multiple types of high-throughput data.
Flaviviruses can utilize multiple receptors for different cell types and host species.
Furthermore, the ESR of utilizing RE to substitute for single type and multiple types of conventional energy is discussed.
In such settings, filtering strategies that can deal with multiple types of data can be utilized to pinpoint valuable items (54, 55) across a large space of potential leads.
This study extends previous research by examining multiple types of drug use in a large population-based sample while utilizing a well-validated and comprehensive measure of personality that captures both global factors and specific facets of personality.
