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A weighted mean was used as the summarization function with weights being given by the peak areas (e.g., signals with larger peak area were weighted more heavily).
The summarization function is exclusively and privately selected by citizens and can differ among them.
A summarization function maps the raw data to a limited domain ((c_{i, e, j})_{j=1}^{k_{i,e}}) of (k_{i, e}) possible discrete values, nevertheless, the summarized data can represent with a level of uncertainty the raw data so that the analytics performed in the demand-side are accurate to a required level.
An integrated read summarization function, seqsumm, written in C++ and interfacing with the R code through Rcpp, makes seqCNA the only tool required to obtain copy number profiles from SAM alignment files (SAMtools [ 20] is necessary to read BAM files).
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The data was normalized using the Bi-weight and Mean Summarization functions in CARPET [8] revealing correlation coefficients between 0.71 and 0.78 for all replicate comparisons.
The probability density function of summarization for ECBT is shown in Figure 6. Figure 6 Probability density functions of summarization by automatically detecting the number of clusters in ECBT.
Similarly, the probability density function of summarization for the Nervousnet project is shown in Figure 7. Figure 7 Probability density functions of summarization by automatically detecting the number of clusters in Nervousnet.
The centerpiece of this work is an objective function for summarization that I call "maximum coverage".
All Affymetrix gene expression data were normalized and summarized using the function three step of affyPLM R package (www.bioconductor.org) with default settings, background correction, quantile normalization and median polish probe summarization.
Summarization is done with the ExonRmaPlm function [ 35].
Using guideline-oriented questions, they created a set of rules that functioned similarly to conventional summarization, to achieve a type of point of-view filtering for guideline-relevant data.
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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