Sentence examples for microarray data comparing from inspiring English sources

The GSEA statistical framework was used as previously described above to evaluate differential expression of the biclusters on our whole-genome microarray data comparing wild type and α9−/− cochlear samples (Table S3).

This expression pattern was similar to our microarray data comparing NPC cells and NP tissues.

Microarray data comparing Atnudt7-1 and WT plants indicated transcript levels of several nudix hydrolases were altered.

The initial statistical analysis of the microarray data comparing the S. aureus control quarters from the different time courses failed to detect any significantly differentially expressed genes.

Microarray data comparing embryonic stem cells and embryoid bodies at 11 time points obtained from GEO (GSE2972) (Hailesellasse Sene et al., 2007 ) was processed and normalized by RMA using limma (Bioconductor).

For published microarray data comparing a test sample and a control sample, genes were considered to be differentially expressed when they showed a log2 ratio of either ≥1 or ≤-1 [ 7].

We can observe that the log2 transformed fold change values are reduced in the microarray data compared to the qPCR.

More recently, there have been further studies that assessed the additional predictive value of microarray data compared to clinical data alone.

For example, the genes RSB1, AZR1, and BAG7 showed a higher level of induction in the microarray data compared to the real-time RT-PCR data.

Furthermore, the environment of repressing LV integrants was enriched in CpG and DNase I sites, as well as in highly expressed genes (based on publicly available microarray data), compared to that of non-repressing LV integrants.

Second, for data from oligonucleotide-arrays (for example, Affymetrix) that has not been log2-transformed, ratio of each data point to the average expression of the 17 "core" genes across all specimens was calculated, followed by log3-transformation, because log3-transformed data have a better overlapped distribution with the cDNA-spotted microarray data compared to log2 transformation.