The complicated mathematics of analyzing the way data sets behave over time long stumped economists, but Robert Engle and Clive Granger have helped clear up the confusion.
In other words, we are asking whether redundant probe sets behave as replicates of each other in the re-sampling scenario.
This approach respects the original design of the array, and uses a statistical model to incorporate measurements from all redundant (termed sibling) probe sets, but only when the probe sets behave similarly in an experiment based on the insignificant result from testing the interaction term.
Overall the CDSN, PSEUDO and LNCRNA sets behaved "autonomously" and appear independently scattered when compared to flanking, annotated gene orientation and distance.
Totally, 313 (P < 0.05) HR probe sets behaved differently between the two genotypes in at least one of the four heat treatments (Table 2), and 18 were in all heat treatments (Table 3), among which 12 and 3 were CS- and TAM-specific, respectively.
The point (0.25, ε) at the cusp of the large "valley" on the right side of the Mandelbrot set behaves similarly: the number of iterations until divergence multiplied by the square root of ε tends to.
However, since the sample sizes are usually small but the numbers of genes are large, it is difficult to identify truly differentially expressed genes and determine whether a gene or a gene set behaves concordantly among different related studies.
An alternative way to compare expression profiling experiments is to use gene set enrichment analysis (GSEA), which provides a more comprehensive look at the way a candidate gene set behaves in another dataset (Mootha et al., 2003; Subramanian et al., 2005).
In most cases, the multiexon duplog set behaved similarly to the whole duplog set.
Any primer set behaves differently, and a narrower concentration range (for example 1, 1.5, 2, 2.5, 3 mM) can be tested, if necessary.
