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Array data were normalized using loess and quantile methods for normalization within and between arrays, respectively.
Methods for normalization of reads were described previously [28].
Also, the methods for normalization of the ChIP-Seq and ChIP-PCR are not clearly described.
Default methods for normalization and differential expression identification were used with the DESeq package.
Methods for normalization of expression data are outside of the scope of our work.
In addition, the choice of statistical methods for normalization and expression analysis using NGS data is a challenge.
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The limma package [ 41- 43] was used to normalize the microarray data (by the print-tip-loess method for normalization within the array followed by the quantile method for normalization between arrays).
We performed this method for normalization and selected 128 pixels along and 512 pixels along and got a 51 28 unwrapped strip.
Our method includes three main tasks, i.e., (1) a method for normalization of Vietnamese tweets based on dictionaries and Vietnamese vocabulary structures in combination with a language model; (2) a method for detecting and correcting suitable capital letters; and (3) a model for training and recognizing named entities in Vietnamese tweets.
After crosslinking reversal, the immunoprecipitated DNA was analyzed by real time PCR using the relative standard curve method for normalization.
Gene expression analysis was carried out by the Affymetrix Expression Console software using the Robust Multi-array Average (RMA) method for normalization.
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