Sentence examples for robustly separate from inspiring English sources

Only investigating mutations that occur in all offspring from one founder (concordant) and not in those from other founders (exclusive) will robustly separate segregating ENU-triggered mutations from strain-specific variants or sequencing errors.

The chromosomal location of these microRNA (Table 1) shows that several are proximal to fragile regions and regions commonly deleted in ccRCC [ 17, 18]. Figure 1A shows a heat-map of the microRNA expression levels for samples in the primary dataset showing that they can robustly separate ccRCC from normal kidney.

Trend-following techniques of financial trading applications combined with problem-specific knowledge yields a method that robustly separates up and down states, in both ideal and fuzzy situations.

Although we robustly separated the unmedicated patient from all other participants including a medicated patient based on entropy values, a possible criticism could be pointed towards the low number of patients.

Our model also predicted that, for all experiments considered here, substantial statistical power was gained by performing replicate experiments, as the bivariate class-conditional probability distributions of SILAC ratios from targets versus non-targets were more robustly separated than those from single experiments (Figure 5).

Nonetheless SV1 is consistently and robustly separated from the B. burgdorferi s.s.s

While the phylogenetic tree shows a monophyletic origin of the ERM family, the origin of the merlin proteins is robustly separated from that of the ERM proteins.

In distinguishing primary from metastatic cerebral tumours, the only parameter reported to have value in robustly separating the 2 entities is CBV.

The resultant phylogeny robustly separated the PMEN2 and PMEN22 clones from a third, distinct clade [see Additional file 4: Figure S3].

In all classifications, the prediction level of the true class can be robustly separated from prediction levels of respective negative classes.

The classifier, termed SCLC-specific hub network (SSHN), robustly separates SCLC from other lung cancer types across multiple datasets and multiple platforms, including RNA-seq and shotgun proteomics.