Sentence examples for microarray analysis techniques from inspiring English sources

Exact(6)

Significant research efforts have gone into developing microarray analysis techniques, but the field is ripe for research to characterize the variability and errors introduced by the scanning process itself, the scanner instrumentation, and the user.

Comparison to other available microarray analysis techniques [61] demonstrated higher detection rate and greater accuracy of our approach.

Cloonan et al. [ 11] log-transformed the gene length-normalized count data and applied standard microarray analysis techniques (quantile normalization and moderated t-statistics).

This is done by simply taking the ln of the read count data then applying standard microarray analysis techniques [ 49, 50] using the limma R package (Additional file 5).

These challenges motivate the search for microarray analysis techniques from which consistent results can be achieved across several experiments and researches, particularly for the identification of potential cancer biomarkers.

Structural diversity in distinct maize haplotypes results in differential hybridization behaviors that are detectable using microarray analysis techniques, and these comparative genome hybridizations have been informative in characterizing different inbred lines of maize.

Similar(54)

In order to contrast Messina with conventional techniques, we applied the algorithm to a small pancreatic cancer data set, and compared its performance to that of an established microarray analysis technique [13] implemented in the package limma [14].

Using the Microarray analysis technique, we found a total of 210 genes (top 30 are listed in Table  1, for a complete list see Additional file 1) which were significantly differentially expressed and showed a Fold-Change of >2 or < −2 under conditions of hypergravity of 1.8  g.

Immunostaining and microarray analysis are techniques frequently used to characterize tissue phenotypes.

This characteristic is well known to challenge many existing microarray data analysis techniques.

Cultures were exposed to Aβ, the Aβ-Al complex or Al alone and investigated for gene profile changes by microarray analysis, a technique that provides a powerful way to identify novel genes involved in physiopathological signaling cascades.

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