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Our predictions can serve a guideline for further theoretical and experimental researches in investigating the electronic properties of the B36 borophene nanosheet.
These predictions can serve as leads for future experimentation.
These predictions can serve as putative annotations and should provide preliminary clues for experimentalists.
These predictions can serve as putative annotations and should be experimentally validated.
Our various 2020 model predictions can serve as testable alternative hypotheses concerning changes in species distribution and richness that will play out in the next 10 years.
Because the contexts differ from the normal imprinting case, and because nothing is currently known about imprinting in social insects, these predictions can serve as a strong a priori test of the kinship theory of imprinting.
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Summary: Computational gene function prediction can serve to focus experimental resources on high-priority experimental tasks.
> > -wrap-foot> The molecular fingerprint prediction can serve as an intermediate step for metabolites identification, and can be used to search a molecular structure database (Heinonen et al., 2012; Shen et al., 2013).
In conclusion, our novel modeling approach provides a systematic description of the biological process, which enables testable predictions that can serve as working hypothesis for experimental evaluation.
Our prediction model can serve as a general model for biomarker discovery in early detection of other cancers.
Our prediction model can serve as a general model for multibiomarker panel discovery in early detection of other cancers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com