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We use a sum of variance to detect the user activity.
The latter two terms allow us to decompose the overall variance as a sum of variance from sample to sample and variance due to repeated review of the sample.
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The variance of d can then be estimated as a sum of variances var μ1) and var μ2): (3) v s d = v μ 1 + v μ 2 = v s X 1 N 1 + v s X 2 N 2, where Ni is the number of samples in the corresponding class.
DESeq instead introduces the assumption that the variance is a sum of a raw variance term (derived from biological variability) and shot noise term (from counts uncertainty).
A Gaussian distribution is a stable limit distribution for a sum of independent finite variance variables.
* <0.05, ns: non significant; (a) QTL positions are at 17 cM and 32 cM on chromosomes 4 and 7, respectively; (b) H1 and H2 hypothesis; (c) H0 and H2 hypothesis; (d) QTL1 and QTL 2 on chromosomes 4 and 7, respectively Therefore, the estimated total genetic variance, a sum of polygenic and QTL genotypic variances, was similar between the one-QTL and the two-QTL models.
Since the variance of a sum is the sum of variance, (A.7) is also (A8).
Thus, when count data are observed in multiple biological replicates, the observed variance is a sum of both the technical and biological variability pieces.
In other words, the centroid is the point that a random sensor has the smallest value in the sum of variance of distance up to each vertex of the Voronoi polygon.
The difference in the sum of variance component estimates can be used as an estimate of the phenotypic variance accounted for by the associated SNP.
Fig. 5 Macroblock sum of variance.
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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