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The S9 fraction is most frequently used in assays that measure the metabolism of drugs and other xenobiotics. It is defined by the U.S. National Library of Medicine 's " IUPAC Glossary of Terms Used in Toxicology" [ 1 ] as the " Supernatant fraction obtained from an organ (usually liver) homogenate by centrifuging at 9000 g for 20 minutes in a ...
Rat liver S9 fraction is used to mimic the mammalian metabolic conditions so that the mutagenic potential of metabolites formed by a parent molecule in the hepatic system can be assessed; however, there are differences in metabolism between humans and rats that can affect the mutagenicity of the chemicals being tested. [19]
In sampling theory, the sampling fraction is the ratio of sample size to population size or, in the context of stratified sampling, the ratio of the sample size to the size of the stratum. [1] The formula for the sampling fraction is =, where n is the sample size and N is the population size. A sampling fraction value close to 1 will occur if ...
The study found significant differences between human liver microsomes and human liver S9 fractions in drug-metabolizing enzyme and transporter protein concentrations. The protein-protein correlations of these drug-metabolizing enzymes and transporters was determined relating to the two hepatic preparations.
The false positive rate (false alarm rate) is = + [1]. where is the number of false positives, is the number of true negatives and = + is the total number of ground truth negatives.
Proportionate allocation uses a sampling fraction in each of the strata that are proportional to that of the total population. For instance, if the population consists of n total individuals, m of which are male and f female (and where m + f = n), then the relative size of the two samples (x 1 = m/n males, x 2 = f/n females) should reflect this proportion.
In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).
[1] [2] Fractions are collected based on differences in a specific property of the individual components. A common trait in fractionations is the need to find an optimum between the amount of fractions collected and the desired purity in each fraction. Fractionation makes it possible to isolate more than two components in a mixture in a single run.