Sentence examples for molecular classification schemes from inspiring English sources

Subsequent subgroup analysis largely confirms many of the currently used molecular classification schemes for diffuse gliomas (ATRX or TP53 mutations, 1p19q codeletion).

Indeed, this heterogeneity is evident from histopatholologic features and differences in ER, progesterone receptor (PR) and ERBB2/HER2/NEU status as well as more recent molecular classification schemes based on the expression of large numbers of genes [ 1– 3].

Our analysis confirms many of the currently used molecular classification schemes for diffuse gliomas: gliomas are first separated based on IDH-mutation status and a further stratification is based on ATRX/TP53 mutation status or 1p19q codeletion.

More specifically, it demonstrates the importance of developing better methods of detection or prevention of papillary RCC among black Americans to be developed, and for improved methods of subtype determination to be put forward, potentially including molecular classification schemes, to ensure that patients receive optimal care.

Using the metagenomic approach and the VP6-based molecular classification scheme, we found evidence for a novel rotavirus species that we tentatively called Rotavirus I.

On the basis of the Her2+/TN molecular phenotype, we developed an 803-gene signature, the ClinicoMolecular Triad Classification system, which is a new, clinically useful molecular classification scheme for breast cancer.

The molecular classification scheme divides β-lactamases into four classes based on the amino acid sequences of the proteins [ 8- 10], whereas numerically more functional groups have been assigned based on the hydrolysis and inhibition profiles of the enzymes [ 7, 10, 11].

A test of the application of molecular phylogeny in taxonomy is whether there is consistency between classification schemes based on molecular characters and morphological traits.

High-resolution genome-wide DNA copy number approaches, in conjunction with gene-specific mutational analyses, appear poised to define keystone molecular events, provide more accurate classification schemes, and set the stage for the design of rational therapies that may finally have an impact on survival of this deadly disease.

The number of Gene Ontology (GO) hits were obtained for all the GO classification schemes: Protein Class, Molecular Function, Biological Process, Cellular Component, and Pathways.

This has raised hopes that classification schemes based on molecular profiling may better capture the complex behavior of tumors and lead to improved prognostication and tailor-made therapeutic strategies.