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Procedures for normalization to internal standards and for expression of the resultant data were according to the amplification plot method of Peirson and colleagues [100] as implemented in DART-PCR Excel workbook (http://www.gene-quantification.info/bestkeeper.html).html
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The procedure for normalization of input parameters is the same as of bubble point ANN algorithm.
The procedure for normalization of input parameters is the same as of bubble point pressure and B ob ANN algorithms.
Normalization of XB testis cDNA (which is a procedure different from and unrelated to normalization of microarray data) was performed prior to 454 pyrosequencing in order to increase representation of genes with low expression; procedures for cDNA normalization and 454 pyrosequencing are described elsewhere [27].
Procedures for data normalization and assessment of statistically and biologically significant genes were performed as described previously [ 22].
Procedures for data normalization and assessment of statistically and biologically significant genes were performed as described by Benedito et al. [2008][ 52].
Differential expression was quantified using DESeq 1.10.1 [ 20] applying the built-in procedures for library normalization and estimation of variance and with Cuffdiff 2.0 [ 21].
The procedure for data normalization should also be explained more thoroughly in the results section as this may significantly alter the apparent variance by PCA.
Procedures for quantification and normalization of GE levels are described in Supporting Online Materials [ 35].
Mathematical procedures for constructing this normalization are outlined in Appendix One.
For normalization procedures, several modules of the deepTools suite (https://deeptools.github.io) were used (Ramirez et al., 2014).
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