Sentence examples for problematic probes from inspiring English sources

Studies that have investigated problematic probes have demonstrated that removing them from estimates of target mRNA abundance profoundly affects analysis results [3], [7], [8].

We present a conceptually simple and sensitive statistical method to detect deviating and potentially problematic probes in a probe set, and we assess the utility of the new method.

Firstly problematic probes were removed.

By removing these problematic probes, we are left with about 190,000 genome specific probes.

Other problematic probes accounted for a minor percentage of all the probes (<3.6%).

After removal of those problematic probes the average hybridization signal intensities were under 1% for all the different control tmRNAs.

Similarly, it is not clear if these "mega probe sets" have excluded probes from problematic probe sets, such as the probe sets interrogating incorrect strand as described for Surf4 [3].

In general, we find that eliminating problematic probe sets through genome-based screening, followed by application of present/absent call filtering, results in an overall increase of consistency among redundant probe sets, leaving only the most interesting cases for further analysis and experimental verification.

We suggest that grouping contiguous CpGs into comethylated regions will add power and reduce false-positive results driven by one problematic probe.

At the same time, our analysis of Section 2.1 shows that the overall correlation structure of gene expression data cannot be driven by the minority of non-overlapping pairs of such problematic probe sets.

While it is theoretically possible that multiple targeting may lead to both negative and positive correlations between expression signals in gene pairs, the observed correlations in families of such problematic probe sets are typically positive and strong.