Sentence examples for more accurate microarray from inspiring English sources

This information enabled us to obtain a preliminary view of regulated genes in response to these pathogens and it constitutes the basis for subsequent and more accurate microarray analysis.

This might reflect the quality difference between RNA-seq and microarray expression data: RNA-seq data is known to be more sensitive and more accurate than microarray data [ 31, 32].

Although RNA sequencing (RNA-seq) data could be more accurate than microarray data, there is currently little RNA-seq data available for most bacterial species.

We then attempted to confirm the array findings for the leading differentially expressed genes using real-time PCR, which is thought to be more accurate than microarray analysis but can be used only to investigate a few genes at a time (Etienne et al. 2004).

Thus, more accurate interpretation of microarray data requires parallel updating of the specificity of GeneChip probes.

Some consider that they are more accurate than traditional microarray expression data.

This approval may bias the conclusions because low-expressing genes pose more challenge to accurate microarray measurement and analyses.

Although intense studies on the calibration of this model have been performed (Shippy et al., 2004; Yuen et al., 2002), experiments under more ideal conditions where such non-specific hybridization can be negligible are needed for the more accurate analysis of microarray data.

This relatively new method can be used to determine absolute gene expression levels and is far more accurate than DNA-microarraying, which commonly generates ratio-based data.

We found that the K-nearest neighbor method gave a more accurate estimation of missing microarray data than the other two [ 32].

Moreover, the measurement by protein microarray is more accurate and reliable, as each sample can be assayed in much higher number of repeats (49 spots on the microarray vs. 12 wells in ci-ELISA).