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Accurate detection of peptides binding to specific Major Histocompatibility Complex Class I (MHC-I) molecules is extremely important for understanding the underlying process of the immune system, as well as for effective vaccine design and developing immunotherapies.
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However, currently no literature has focused on understanding the underlying processes that are unique to group therapy, which contribute to treatment success.
The last decade saw rapid progress in understanding the underlying processes, especially for dispersal by wind, in part due to new mechanistic modeling approaches that account for turbulent fluctuations.
Instead, approaches that focus on understanding the underlying processes of knowledge exchange, assess the relative contribution of other factors in shaping outcomes in addition to knowledge exchange, and that involve multiple stakeholders in implementing evaluations, will be the most appropriate for evaluating knowledge exchange in interdisciplinary global environmental change research.
As a consequence, the database can evolve with the diversification of data gathering methodologies and with the advancement in understanding the underlying processes.
Hence, understanding the underlying processes of parallel evolution still requires further research.
Additionally, while adults and children show the same overall pattern of processing during early perceptual stages of visual search, this research should only be taken as a first step in understanding the underlying processes of visual search in children.
Thus, understanding the underlying processes that govern symbiosis resilience is crucial to manage the positive (e.g., nitrogen-fixing bacteria) as well as the negative (e.g., pathogen outbreaks) consequences of such interactions in agro-ecosystems (Thompson 2005; Thrall et al. 2007; Kiers et al. 2010).
For understanding the underlying decision process, it is key to identify what affects these preferences in different situations.
GMs are useful because they model the process that generate the observed data, providing the machinery to do inferences and simulations of yet unobserved situations or to help understanding the underlying generative process.
The per-gene approach is particularly useful for less well-annotated genomes for which the enrichment of well-characterized genes in the top ranked list would markedly facilitate our understanding the underlying biological process.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com