Exact(1)
A deeper understanding of RNA-driven QTLs, whether cis or trans, tissue-specific or ubiquitous, coding or non-coding, splicing-, decay- or epigenetic-related may be critical to the interpretation of human phenotypic variability, in order to further disease risk prediction, understand causal mechanisms, and enable targeted therapies.
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Empirical research has just begun to address the interaction of attention and prediction understood as the interplay of predictability factors and precision-related factors.
Prediction to understand cause and effect.
We next analyzed variance prediction to understand important experimental and subject factors of gene expression differences in our dataset.
Overall from the calculated cheminformatics studies and web-server predictions, we understand that few molecules like anthrine, condylocarpine, dihydrocorynantheol etc. have predicted GIC50 values in sub µM concentrations, while they also have predicted drug drug activity towards CYP3A4, and CYP2D6 enzymes.
We concluded that the DAYCENT model was successful at predicting GHG emissions of different alternative management systems in California, but that a sound error analysis must accompany the predictions to understand the risks and potentials of GHG mitigation through adoption of alternative practices.
In order to overcome the lack of fidelity of the lumped parameter models and the high computational cost of finite element models, and in order to obtain accurate vibration response predictions to understand the coupling vibration mechanism in the planetary gear system, a comprehensive, fully coupled, dynamic modeling method is proposed by applying a virtual equivalent shaft element.
But, we no longer need to rely on predictions to understand the magnitude of this future, we can simply need to visit Beijing to realise that, as science fiction author William Gibson said, "the future is already here – it's just not very evenly distributed".
PDG complements theoretical models and provides testable predictions to understand the adaptive potential of tree populations.
Biocuration (98, 99) is gaining significant importance in biology due to the need for integrating multiple data resources, coupled with literature evidence and bioinformatics-based predictions, to understand new molecular connections which are not obviously visible without such integration.
In social science, the importance of theory prediction is understood as being related to the sample size: "Given a large enough sample, and/or a long enough period of observation, theorists can predict on the basis of some of the worst explanations or no explanations at all.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com