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In the simplest cases, normalization of ratings means adjusting values measured on different scales to a notionally common scale, often prior to averaging. In more complicated cases, normalization may refer to more sophisticated adjustments where the intention is to bring the entire probability distributions of adjusted values into alignment.
Therefore, the total number of reads generated in a single experiment is typically normalized by converting counts to fragments, reads, or counts per million mapped reads (FPM, RPM, or CPM). The difference between RPM and FPM was historically derived during the evolution from single-end sequencing of fragments to paired-end sequencing.
Within computational biology, an MA plot is an application of a Bland–Altman plot for visual representation of genomic data. The plot visualizes the differences between measurements taken in two samples, by transforming the data onto M (log ratio) and A (mean average) scales, then plotting these values.
In computer science, canonicalization (sometimes standardization or normalization) is a process for converting data that has more than one possible representation into a "standard", "normal", or canonical form.
If we start from the simple Gaussian function = /, (,) we have the corresponding Gaussian integral = / =,. Now if we use the latter's reciprocal value as a normalizing constant for the former, defining a function () as = = / so that its integral is unit = / = then the function () is a probability density function. [3]
Montrell Johnson Jr.'s 5-yard touchdown run with 7:40 remaining in the fourth quarter gave Florida a 24-17 win over No. 9 Ole Miss on Saturday in Gainesville. Ole Miss had a chance to tie the game ...
Geiger-Müller counter with dual counts/dose rate display measuring a "point source". The dose per count is known for this specific instrument by calibration. The count rates of cps and cpm are generally accepted and convenient practical rate measurements. They are not SI units, but are de facto radiological units of measure in widespread use.
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