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16191 Ensembl ENSG00000113525 ENSMUSG00000036117 UniProt P05113 P04401 RefSeq (mRNA) NM_000879 NM_010558 RefSeq (protein) NP_000870 NP_034688 Location (UCSC) Chr 5: 132.54 – 132.56 Mb Chr 11: 53.61 – 53.62 Mb PubMed search Wikidata View/Edit Human View/Edit Mouse Interleukin 5 (IL-5) is an interleukin produced by type-2 T helper cells and mast cells. Function Through binding to the ...
IL5 has a similar overall fold to other cytokines (e.g., IL2, IL4 and GCSF), [18] but while these exist as monomeric structures, IL5 is a homodimer. The fold contains an anti-parallel 4-alpha-helix bundle with a left handed twist, connected by a 2-stranded anti-parallel beta-sheet.
The interleukin 4 (IL4, IL-4) is a cytokine that induces differentiation of naive helper T cells (T h 0 cells) to T h 2 cells. Upon activation by IL-4, T h 2 cells subsequently produce additional IL-4 in a positive feedback loop. IL-4 is produced primarily by mast cells, T h 2 cells, eosinophils and basophils. [4]
This algorithm can easily be adapted to compute the variance of a finite population: simply divide by n instead of n − 1 on the last line.. Because SumSq and (Sum×Sum)/n can be very similar numbers, cancellation can lead to the precision of the result to be much less than the inherent precision of the floating-point arithmetic used to perform the computation.
The mean and the standard deviation of a set of data are descriptive statistics usually reported together. In a certain sense, the standard deviation is a "natural" measure of statistical dispersion if the center of the data is measured about the mean. This is because the standard deviation from the mean is smaller than from any other point.
The "68–95–99.7 rule" is often used to quickly get a rough probability estimate of something, given its standard deviation, if the population is assumed to be normal. It is also used as a simple test for outliers if the population is assumed normal, and as a normality test if the population is potentially not normal.
Bias in standard deviation for autocorrelated data. The figure shows the ratio of the estimated standard deviation to its known value (which can be calculated analytically for this digital filter), for several settings of α as a function of sample size n. Changing α alters the variance reduction ratio of the filter, which is known to be
If is a standard normal deviate, then = + will have a normal distribution with expected value and standard deviation . This is equivalent to saying that the standard normal distribution Z {\textstyle Z} can be scaled/stretched by a factor of σ {\textstyle \sigma } and shifted by μ {\textstyle \mu } to yield a different normal distribution ...