Sentence examples for use of molecular analysis from inspiring English sources

Taken together, these findings call for new considerations about the use of molecular analysis to determine the relatedness of recurrent precancers and cancers after pancreatic resection, as some represent regrowth of the previously resected neoplasm, while others the development of a second primary lesion.

The use of molecular analysis can supply additional criteria to distinguish de novo second tumours from recurrent tumours.

The use of molecular analysis with conventional epidemiology has increased our understanding of TB transmission (15, 16).

The use of molecular analysis of, for example, msp-1 and msp-2 genes or, in this particular case, of microsatellite loci of P. falciparum, is invaluable for the purposes of such differentiation, and we highly recommend that it be used in in vivo studies conducted in countries having a high transmission rate.

Using retrospective statistical modelling of molecular analysis of intracellular signalling pathways, we developed an algorithm that allows the calculation of risk of recurrence for early breast cancers treated with tamoxifen.

Considering that our 4-gene signature showed prognostic value for recurrence in two independent patient cohorts, over-expression of this signature may be used for molecular analysis of histologically negative margins in oral carcinoma.

Raman spectroscopy has been extensively used for molecular analysis of biological tissues and disease diagnostic [10-13] [10-13]

The primers which were used for molecular analysis of transgenic plants were described detailedly in Gao et al. (2011).

A dataset of 43 sequences were used for molecular analysis and to construct the Neighbour-Joining phylogenetic tree.

Basically, what we propose in this paper is the use of BRAF molecular analysis (after uncertain cytological diagnosis) to assess the malignancy of thyroid nodules in the first place, then the use of KIT model for the indeterminate nodules and at last the use of the 8-gene model to ultimately assess the diagnosis of the nodules that otherwise would remain suspicious.

More recently the use of global molecular analysis tools such as gene expression profiling, array-CGH, exome and whole genome sequencing, has provided more promising leads for predictive biomarkers for chemotherapy in gastroesophageal cancer [ 6, 7].