Sentence examples for using larger sets of from inspiring English sources

Exact(6)

The clustering patterns observed for the five major continental ancestries studied here are similar to those obtained in other studies using larger sets of markers [24], [27], [52], [53].

This potential drawback of SNP can be overcome either by using larger sets of markers or by considering haplotypes structure for each locus in place of single SNPs.

Additional studies using larger sets of tumours are needed to define the significance of these genes during the genesis of lymph-node-negative breast tumours.

The value of this assay to generate hypotheses in a diagnostic setting remains to be evaluated by using larger sets of sera from different cohorts of RA patients and disease controls (patients with infections and other noninfectious inflammatory diseases).

Furthermore, the number of tumours investigated in this study is low, further studies using larger sets of tumours are needed to verify the significance of the 51 gene list.

As an alternative to agarose gel-based fingerprinting methods, which are time-consuming and can often lead to poor maps due to the need for manual band calling and the comparatively low resolution of agarose gels, fluorescence-labeled capillary electrophoresis methods have been developed to produce larger, more accurate contigs using larger sets of BAC clones [ 26- 28].

Similar(54)

Dr. Mora is not a climate scientist; rather he is a specialist in using large sets of data to illuminate environmental issues.

Interestingly enough, one of the company's investors is Max Levchin, who is also using large sets of data to optimize personal credit with a new company called Affirm.

As future work, we want to further develop spectral descriptors and evaluate them by using large sets of chemical and bio-chemical structures.

We have performed phylogenetic studies using large sets of genes and different reconstruction methods.

KPP paints pathways from the KEGG database using large sets of the candidate genes accompanied by "overexpressed" or "underexpressed" marks, for example, those generated by microarrays or miRNA profilings.

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