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The advent of single-molecule methods has begun to fill this knowledge gap, and scientists can now confidently expect that future research using these methods will eventually yield a detailed "moving picture" of the molecular processes underlying transcription.
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These methods have begun to reduce the incidence of food-borne illness.
QM methods have begun to demonstrate their usefulness as scoring functions for calculating ligand binding free energies.
In recent years, immunohistochemical methods have begun to allow a better understanding the trigeminocervical interactions and inflammatory activation of the trigeminovascular system.
Bayesian methods have begun to predominate disease mapping applications[ 1].
These methods have begun to appear in publications 25 26 and in clinical practice guidelines.
Although some information theory-based methods have begun to emerge for interaction analysis, these methods have not been investigated sufficiently to gain widespread acceptance.
Bioimage informatics methods have begun to turn image data into useful biological knowledge (Peng, 2008; Swedlow, et al., 2009; Shamir, et al., 2010; Danuser, 2011).
These methods have begun to allow analysis of networks implicated in human disease and the identification of critical nodes as therapeutic targets [ 10].
For example, studies using mixed qualitative and quantitative methods have begun to answer complex questions about treatment adherence relevant for front line practitioners.
Although current PPI text mining methods have begun leveraging expert opinions to extract information from text (Tastan et al., 2015), these methods have not been developed for a large scale extraction task.
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CEO of Professional Science Editing for Scientists @ prosciediting.com