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Trimmed mean of M-values (TMM) normalization method [ 22] was performed in edgeR to normalize the data across libraries.
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Finally, we used edgeR to normalize the expression levels in each of these samples and obtain the differentially expressed transcripts by pairwise comparisons [ 82].
Finally, we used edgeR to normalize the expression levels in each of these samples and obtain the differentially expressed transcripts by pairwise comparisons [ 49]. qRT-PCR was used to validate the RNA-Seq results on randomly selected 30 gene accessions.
RNA-Seq count data from each time point was normalized using trimmed mean of M-values (TMM) normalization [ 66] in edgeR to compute fragments per feature kilobase per million read mapped (FPKM) values.
As shown in Fig. 2b, edgeR used the resulting RNA-Seq read count data to build the counts table in edgeR to begin DGEA.
Japan, for its part, is locked in talks to normalize relations with the North.
EdgeR was used to normalize the data and extract differentially expressed genes (DEGs).
EdgeR was used to normalize expression data and perform differential expression analysis [ 40].
As an illustrative example, we show the results of subsampling of an RNA-Seq dataset from Hammer et al. (2010), using edgeR or DESeq2 to normalize and test each subsample for differential expression.
The situation in Jonglei needs to normalize quickly.
Unfortunately, in an effort to "normalize" the hijab, one may inadvertently normalize the "fetishization" of the hijab.
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