Sentence examples for variance cut from inspiring English sources

For experiments 2 and 3 the SAGE xProfiler analyses were performed using a fold difference factor of 10 and a 0% coefficient of variance cut off.

Genes changing upon Paupar knockdown were filtered to remove genes showing little variation in expression (variance cut off of 0.5), while for the Pax6 knockdown analysis, genes with consistently low expression were removed before the identification of significant changes.

Genes whose expression changed upon Dali and Pou3f3 knockdown, as well as upon retinoic acid induced differentiation of control and stable Dali knockdown cells, were filtered to remove genes showing little variation in expression (variance cut off of 0.5) before the identification of significant changes.

Although EPHB4 did not meet the variance cut-off observed in the initial set, distinct polymorphic methylation was observed with 3 of the 49 samples exhibiting a "methylated" state (Figure S3B).

Top 50 variables (metabolic pathways) were also plotted at 0.8% relative abundance and 0.6% variance cut-off.

All the values were kept default except the number of descriptors in the final equation which was changed to 4 and variance cut-off as 0.1.

Keeping the cross-correlation limit set at 0.5, Ftest In at 4.0, Ftest Out at 3.0, term selection criteria being r, variance cut-off at 0.1 with auto-scaling, the model was built.

A variance cut-off relative to the variable with the largest variance (σmax) was used to remove noninformative probes; this was set at 0.05 σ/ σmax (Qlucore Omics Explorer 2.2).

The cross correlation limit was set as 0.5, maximum number of variable in final equation as 2 (n/5, where n is number of compounds in training set), term selection criteria as r, variance cut-off as 0 and scaling as auto scaling.

A final set of gene expression probe-sets ready for further analysis was generated using a variance cut-off relative to the variable with the largest variance (σmax) to remove non-informative probes, set at 0.1 σ/σmax (Qlucore Omics Explorer 2.2) resulting in a final set of 24839 expression probes in the main data set.

To maximize the proportion of high quality transcripts, data were filtered using a coefficient of variance (CV) cut-off value of 30%.