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The normalization bias was calculated in each condition as the ratio between a given normalization factor and the theoretically ideal one (NF R10, R2, R6)).
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Given these normalization procedures, samples from each dataset and/or batch were normalized separately, but in every case PP and PN samples from the same patient were normalized together.
All the decision scores were given without normalization.
Given the normalization procedures of RMA, the fold change estimates are relative.
Given that normalization is mediated by a pooled inhibitory mechanism, it may depend on inhibitory interneurons [45], which mainly acts as "modulator" [46].
Indeed since our trees are fully grown, importance weights satisfy equation (4) which, given our normalization, attributes equal weights to all tree models irrespective of their quality when used to predict the expression values of the target gene.
Given that normalization models argue that attention affects neuronal processing by interacting multiplicatively with the stimulus drive and with the suppressive drive (Reynolds & Heeger, 2009), while Cavanaugh et al.
Note that Mtotal just gives the normalization of mass of a galaxy.
There are other axiomatizations that give up normalization; that give up countable additivity, and even additivity; that allow probabilities to take infinitesimal values (positive, but smaller than every positive real number); that allow probabilities to be imprecise (interval-valued, or more generally represented with sets of numerical values).
The amount of time it spends in a cell gives, after normalization, the associated probability.
The sum of the experiment over the sum of the control gives the normalization factor.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com