Sentence examples for individual gene analysis from inspiring English sources

GO terms and individual gene analysis revealed that there was concordance in the main upregulated proinflammatory transcripts between SOD1-mutant hiPSC-astrocytes and the astrocyte-specific translational profile in SOD1-mutant ALS mice25 (Fig. 6c).

This Stygiocaris combined dataset unequivocally recovers S. lancifera and S. stylifera as sister taxa relative to Stygiocaris sp. Bundera in each individual gene analysis and when the three analyses are combined (Fig. 7).

Most of the diversity found spanning the 2DS3S5 locus results from the differences between the 2DS3 and 2DS5 alleles and therefore they were analyzed separately in the individual gene analysis immediately following.

In order to measure multiple genes from the same cell, we used pooled primers to amplify the genes of interest for 12 cycles (preamplification) prior to aliquoting the samples into separate wells for individual gene analysis (addition of probe).

Future analysis using next generation deep-sequencing analysis of expression variation and further individual gene analysis using reverse genetics approaches will be necessary to dissect gene functions during rice oxidative stress.

One may also apply the individual gene analysis on top of the GSA results to complement the analysis.

Due to such advantages, GSA is becoming a powerful alternative to individual-gene analysis.

The ranked coexpression matrices were integrated by computing rank products as in the section on individual-gene analysis.

As with the individual-gene analysis, we proceeded by computing the associations of the module expressions with age while adjusting for gender for each dataset separately.

However, as most of the 11 identified terms are rather broadly defined, like 'disulfide bond' or 'signal peptide', little detailed knowledge is gained on potential molecular mechanisms underlying normative aging following the individual-gene analysis approach.

Such a group-wise approach of GSA covers a much larger spectrum of expression patterns and hence exhibits higher statistical power than an individual-gene analysis: many genes with relatively weak signals as well as small number of genes with strong signals in a gene set could be significant.