Sentence examples for identifies the likelihood of from inspiring English sources

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Gene expression was compared across 23 target messenger RNAs comprising the Corus® CAD test, a clinically-validated test that identifies the likelihood of obstructive coronary disease [ 4, 14, 15].

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Lehman Brothers has a mathematical model known as Damocles that it calls "an early warning system to identify the likelihood of countries entering into financial crises".

You'll learn how predictive analytics use data and statistical algorithms to identify the likelihood of future outcomes based on historical data.

Factors associated with the recurrence of endometrioma and pain were investigated independently to identify the likelihood of recurrence in each individual patient.

So, Mr. Butler said, the church opposes any research that might lead to more abortions, for example a gene that identified the likelihood of a birth defect, or might encourage the use of alcohol or tobacco, for example a gene that suggested reduced health effects from smoking or drinking.

Big data analytics uses various techniques, such as machine learning techniques, to identify the likelihood of future outcomes based on applying those techniques on available datasets.

One possible set of groupings would include: "long/short," which combines long positions with short sales; "event driven," which seeks to identify the likelihood of certain corporate transactions; "relative value," which seeks to exploit pricing discrepancies that arise between securities; and "tactical trading," which identifies and follows macro-economic and other trends in various markets.

Well-validated genetic testing platforms identify the likelihood of passing genetic diseases or disorders (caused by a defect in a single gene) to a child.

M7 identified the likelihood of the data fitting a β distribution with one ω value.

If no SLN metastases are identified, the likelihood of additional NSLN involvement is 9.8% in our series.

Hazard rate regression was used to identify the likelihood of a respondent falling in a given month, based on their individual reporting times [ 35].

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