Sentence examples for microarray data when from inspiring English sources

GSEA can be used to identify subtle but consistent pathway changes in microarray data when analysis at the individual transcript level cannot detect statistically significant variation.

Our evaluation makes clear that adjustment for batch effects is a mandatory step in the analysis of microarray data when the sample size is too large to fit in a single batch.

Indeed in one such study in the budding yeast where DNA combing combined with DNA fiber fluorography was used to deduce the replication profile in Chr VI it was found that all yeast VI chromosomes showed different replication profiles when analyzed as single molecules, while recapitulating microarray data when averaged [29].

More explicit experiment annotations, however, are highly useful for interpreting microarray data, when available in a statistically accessible format.

This also explains why the Law of Large Numbers (LLN) is not met in microarray data when applied to log-expression levels across genes [ 12, 13].

In this study, we demonstrated a high reproducibility of the DNA microarray data when comparing the array signals within the FNAB or FFPE tumor specimens (r = 0.87).

For Met4, our model matches microarray data poorly when the order is Met31-Cbf1-gene start, but matches well with the order Cbf1-Met31-gene start (Fig. 2).

Probe set redundancy can cause problems for microarray data analysis when different probe sets addressing the same gene produce inconsistent results.

Nevertheless, MSR has been proven to be inefficient for finding certain types of biclusters in microarray data, especially when they present strong scaling tendencies [ 21].

In an attempt to refine the utility of microarray expression data when evaluating the direct transcriptional affects of an RNAi agent we have developed SBSE (Simple Bayesian Seed Estimate).

Good concordance between qRT-PCR and microarray data was observed when fold-change values ranged between 2 and 7. When the fold-change calculated from microarray data was higher than 10, qRT-PCR estimated substantially larger changes in gene-expression.