Sentence examples for assessment of microarray results from inspiring English sources

The most common approach to quality assessment of microarray results makes the assumption that the majority of arrays in each dataset is of good quality, and various parameters serve to identify outlier arrays (Beisvag et al., 2011; Bolstad et al., 2005).

Until a standard definition of validation of microarray results is established, data quality characteristics must be thoroughly presented in the literature to allow for individual assessment of the results.

L.C. and W.Y. helped with performance and interpretation of microarray results that contributed to the data.

Many tools are now freely available to aid investigators with microarray normalization and selection of internal reference genes to be used for independent corroboration of microarray results.

Here we discuss problems related to the sensitivity, accuracy, specificity and reproducibility of microarray results.

Details of genes shortlisted, on the basis of microarray results, for semi-quantitative RT-PCR.

Validation of microarray results by semi-quantitative RT-PCR revealed temporal variation in gene expression profiles.

Fig. 4 Validation of microarray results by semi-quantitative RT-PCR.

Validation of microarray results was made by RT-PCR.

Analysis of microarray results was done using SAM.

Confirmation of microarray results by qPCR.