Sentence examples for segregated profiles from inspiring English sources

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In short, academically selective and high-fee schools share socially segregated profiles that are uniquely well-catered to by existing subject offerings and teaching methods.

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Richard Blumenthal, the attorney general in Connecticut, said in a statement yesterday that Web sites needed to take stricter steps, like screening violent or racist content that children could view, requiring identity verification and segregating minors' profiles from those of adults.

The partitioning method we describe dramatically increases the capture of significant co-expression relationships by segregating expression profiles into similar groups prior to correlation calculation.

By including transcriptomic data of four vegetative and seed developmental stages/tissue types in the differential expression analysis, we have attempted to identify and segregate expression profiles specifically (preferentially) relevant to the events related to male gametophyte development.

These profiles segregated ependymomas by CNS location and unmasked additional subgroups among supratentorial, posterior fossa, and spinal ependymomas.

Therefore, direct DNA sequencing of the MMP1 promoter was carried out to determine whether the MMP1 mRNA abundance and activity profiles segregated with this promoter polymorphism.

On the basis of visual intensity of PCR bands (figure 8A and 8C) and analysis of normalized PCR band densities (figure 8B and 8D), expression patterns of the 35 genes can be segregated into four profiles.

Genetic analyses of the tumor suppressor gene SMARCB1 (FISH, MLPA, sequencing) and Illumina 450 k methylation profiling segregated molecular subgroups.

SLE patients and healthy controls were segregated by ethnic profile (Table  1).

In one of the first investigations of 217 miRNAs in 334 tumour and normal tissue samples, miRNA expression profiling segregated tumours by developmental origin and had the capacity to correctly identify the tissue of origin of poorly differentiated tumours, in contrast to an mRNA-based tissue classifier (Lu et al, 2005).

To determine if the genomic instability profiles were segregated by disease type, hierarchical clustering of genome-wide copy number change profiles was performed in PV, ET and PMF patients using the distance of Pearson correlation co-efficiencies.

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