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SNPs&GO is an SVM-based method which utilizes functional gene ontology (GO) terms to predict the disease-associated mutations from the protein sequence and evolutionary information.
Additionally, our study used categorical descriptions for airway exam elements that were initially described in continuous terms to predict difficult visualization and/or intubation with direct, line-of-sight laryngoscopic approaches.
The ROR score incorporate the biology of the intrinsic subtypes by including the Pearson's coefficients to the four tumor centroids as factors in the model in addition to a proliferation score and primary tumor size as additive terms to predict risk of recurrence.
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The multivariate partial correlation reflects the power of each covariate's term to predict grip strength.
New short-term tests to predict mutagenesis and possible carcinogenesis are validated using data from the NTP-CB.
In other words, W ci was removed from the exposure model (Equation 2), resulting in a new exposure model in which a random town-level intercept term is the only nonresidual term used to predict long-term NO2.
For preclinical evaluations, the focus is to obtain quantitative predictions of drug effect in mechanistic terms — not to predict future tumor volume beyond the observation period.
Understanding the complexity of landscapes is an essential requirement to exhibit strategies for landscape development in the mid-term future to predict long-term effects and maintain future demands.
The data showed that the optimal time to evaluate short-term responses to predict long-term outcomes was 12 months after starting LN treatment.
The objective was to estimate the effectiveness and cost-effectiveness of a CRC awareness campaign by using a mathematical model which extrapolates short-term outcomes to predict long-term impacts on cancer mortality, quality-adjusted life-years (QALYs), and costs.
One of the leading search terms used to predict the markets was the word "debt" — an increase in such searches heralded a sell-off of stocks.
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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