Sentence examples for by different microarray platforms from inspiring English sources

A number of studies have been carried out to evaluate the correlation between data produced by different microarray platforms.

Notably, these data sets were analyzed by different microarray platforms and represent patient materials of different stage, differentiation, ethnicity, age, and sex.

Adherence to established standards, alongside proven reproducibility and correlation within and between datasets produced by different microarray platforms, is essential for the usefulness of such databases.

These 687 cases represent tumors of various stage, differentiation, patient ethnicity, sex, and age, and, notably, have been analyzed by different microarray platforms.

Improvements in methodology, the development of quality control standards and references, and the implementation of standards for data analysis will improve the relationship among data produced by different microarray platforms [ Bammler et al., 2005].

Importantly, although the gene signature for the AC1 and AC2 subgroups was derived from initial analysis of a small cohort comprising only nine never-smokers, it was successfully validated across much larger AC data sets, e.g., the DCC (n = 349), profiled by different microarray platforms and comprising in total 687 AC tumor cases.

Biological networks captured by the different microarray platforms were generated using IPA and scored based on the relationship between the total number of genes in the specific network and the total number of genes identified by the microarray analysis.

These results support the robustness of the class predictor, as clear separation was observed in independent datasets generated by using different microarray platforms and normalization methods.

Given the significant methodological differences between microarray and MPSS analysis, the fact that more than 65% of our MPSS differential data set showed concordance with expression profiling obtained by several different microarray platforms, represents a good overlap compared with other examples of sequence versus array data [ 41].

Therefore we investigated the potentially disturbing effect of vRNA overrepresentation on array outcome by using the mouse hepatitis coronavirus (MHV) as a model and by employing two different microarray platforms.

Although this may in part be explained by the use of different microarray platforms, among other differences, it has become increasingly evident that further data from well designed trials are needed to identify key determinants before these diagnostic techniques may be introduced into the clinical setting [ 25].