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Identification of these processes by the "omics" approaches, with subsequent evaluation in a systems biology framework, and linking the findings back to traditional end points will help develop diagnostic tools specific to BRD.
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Identification of these common processes across the two different cancer types represents an important contribution made by this study.
In this article we report investigations performed in humans that have enabled the identification of these specific processes in response to inhaled materials.
The identification of the processes causing cold waves, will help in improving their forecast and hence will be beneficial to the society.
The identification of the processes at the origin of variation in dispersal traits should be addressed in future studies.
Thus, the identification of the processes that play an important role in the early stages of the disease in these patients is extremely difficult.
Identification of CQAs is a component of the quality by design (QbD) approach to product development, along with identification of the process parameters that affect these CQAs, the design and control of manufacturing via in-process and quality control testing of critical quality and performance attributes of raw and in-process materials and processes that ensure manufacturing consistency.
The identification of this process allowed drug researchers to pinpoint areas where they might boost or lower chemical levels in the nervous system.
The suitability of artificial neural networks for identification of the process variables and modeling is evaluated.
This search for a link between structure and function is currently the focus of many studies in network structure [ 9, 20- 24]; however, identification of these true biological processes or elements within a network currently has a finite upper limit that is often dependent on network size and complexity [ 25].
Results from these screens have led to the identification of new components of these processes and, importantly, have also provided insights into the complexity of biological systems, forcing new and innovative approaches to understanding functional networks in cells.
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