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In this study, after averaging miRNA microarray data between two replicates, we ranked miRNAs according to their signal intensities.
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In order to compare coexpression values between two replicate datasets, we compare their relative rankings and compute the proportion that are common.
Among candidate features, we selected the one with the maximum correlation coefficient of residuals between two replicates.
Least square (LS) means was computed between two replicates of each line for all phenotypic data.
High similarity between two replicates (Pearson correlation coefficient = 0.99) indicates minimum sequencing batch effect, hence the robustness and accuracy of our sequencing technology.
As differentially expressed genes matched significantly between two replicates of F1 male profiles, the two sets were combined together for further analysis.
Based on a comparison of genotyping calls between two replicates (only two of the M0023 Cy3 replicates was used to enhance the consistency of analyses) the majority of the genotype assignments determined using B>M probes were consistent between pairs of replicates and only 2 4% of probes were called as different genotypes in the two replicates.
Scatterplot showing the correlation of expression levels between two replicates.
These findings were consistent between two replicates of IPO323ΔChr18.
All six comparisons between two replicates in each condition are given.
(B ) Relative occupancies of all 61 codons compared between two replicates, with Spearman correlation of 0.81.
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