Sentence examples for major variance from inspiring English sources

Direct orthogonal signal correction (DOSC) is applied to correct for major variance sources such as temperature effects, time influences and instrumental differences in near infrared (NIR) data.

Recent studies have demonstrated that moderate to severe anaemia explains most of the major variance between glucometer and quality control laboratory readings [ 40].

The major variance of gene expression profile was not caused by known factors and no significant difference can be directly derived from differential gene expression profile.

A day-of-week pattern was not apparent in the CVD mortality power spectra, which showed a major variance contribution in the frequency range corresponding to seasonal cycles.

We anticipated that this pathway-based transcript panel would report major variances in gene expression programs across very diverse cell-types.

The qualitative analysis of the major variances in the spectra was performed directly by using principal component analysis (PCA), an unsupervised method allowing orthogonal decomposition of variance associated with the analyzed metabolites.

†"%" denotes the proportion of total variance due to between- and within-major variance, correspondingly.

In peripheral blood, for example, seven major conserved variance components explain well over half the variance of all transcripts [ 23], reflecting coordinated regulation of genes in the predominate cell types as well as the strength of immune signaling activity, although we do not yet know the genetic basis for this.

Segregation analyses yielded very low major gene variances which favour the polygenic determinism of milk flow.

The inclusion of all major-level variables in the model (Model 1) led to a reduction of 59.9% and 8.9% in between-major residual variance and total residual variance, respectively, while adding student-level socio-demographic variables in the model (Model 2) reduced the total residual variance by 13.8%.

The major sources of variance explaining variation in multiple traits along the two leading axes were differences between functional groups (first axis 69%%, second axis 15%%) and due to shading (first axis 15%%, second axis 53 %) [see Supporting Information Fig. S3 ].