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There are no replicates for each condition.
This case is, in general, particularly difficult, because with no replicates for any of the individuals the genetic variance is not identifiable (Sorensen and Gianola 2002).
Since the above used published dataset consists of only two technical replicates for human and macaque and no replicates for chimpanzee, it lacks statistical power to identify differentially expressed (DEX) genes.
Since there were no replicates for these samples, we did not use edgeR to calculate differential expression as EdgeR requires replicates to effectively model the dispersion among libraries of the same conditions.
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There were four replicates for gene expression data and no replicate for the methylation data.
The expression levels for each tree were analyzed on a single array only, with no biological replicates for any individual tree.
Since no replicates were present for the pure cell lines, it was assumed for exon microarrays that the expression value, Y gi, for the g'th gene out of G genes and the i'th sample out of two samples is N(μ gi, σ) - distributed.
No replicates were performed for individual lines.
No replicates were performed for the clinical strains tested.
Because no replicates were available for the test data, a Poisson mixture model was used to identify estrogen-induced differences in Pol II binding quantity in the two cell lines.
In HsM1 we used a more stringent threshold of 3.5-fold, since the expression values in this dataset showed a much larger variance, probably because no replicates were performed (except for time 0).
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