Sentence examples for more variables genes from inspiring English sources

PCA is well adapted to the framework of 'Omics' data as it can handle data sets with much more variables (genes) than samples (arrays).

CIA has two major advantages: It can be applied to data sets with considerable more variables (genes and proteins) than samples (life cycle stages), and the variables in the two data sets do not have to match one another.

The critical problem is that for datasets with more variables (genes) than samples, a relatively high number of false discoveries (false relevant correlations) can be detected even in the case of very high correlation thresholds.

The critical problem is that for datasets with more variables (genes) than samples, a relative high number of false discoveries (false relevant correlations) can be detected even in the case of very high correlation thresholds.

Sequencing of other more variable genes and a more considered analysis would help to resolve this.

The more variable genes stamp and vmp1 encoding for surface proteins showed further differentiation.

In contrast, the more variable genes (s 2 >1.75) showed higher mRNA levels than average.

The results further suggest that the resolution at the isolate level may, subsequently be improved by targeting more variable genes.

In order to investigate the differences that these more variable genes may entail and find significant differentially expressed (DE) genes, we applied two algorithms: DEseq and Cuffdiff.

In a case where the core-gene tree does not provide enough resolution, better resolution might be obtained by focusing on the more variable genes; in these cases care should be taken not to focus on paralogous to infer phylogeny.

This difference between the studies could also be due to differences between the methylation status and XCI status of some of the more variable genes; however, most genes which are found variable by other studies are not given an XCI status call by the Cotton DNAm study (Additional file 2: Figure S1).