Sentence examples for gene classification for from inspiring English sources

Given the above observations, but despite recent claims that PAM50 models derived from archival formalin-fixed RNA are 'a potential replacement for grade-, hormone receptor-, Ki67-, and HER2-based prognostic models' [ 21], we argue that the microarray-based gene classification for breast cancer is not yet ready for clinical use in prognostic models or otherwise [ 1, 3, 8, 27].

Multi-gene classification for women with triple-negative tumors.

For functional gene classification, the Database for Annotation, Visualization, and Integrated Discovery (DAVID) 25 was used as follows: the Affymetrix HGU Plus 2.0 platform was selected as background and default DAVID gene sets were tested with the exception of "Functional_Categories" and "Protein_Domains".

This relatively small number of diurnally regulated genes common in both data sets results from the stringent criteria that were used for the gene classification to correct for differences in growth and culture conditions and therefore comprises the more significant cyclic expressed genes.

Table S17 presents the Gene Ontology classifications for the genes presented in Table 1.

Whereas most gene classification tools are optimized for and restricted to an alphabet of four letters (nucleic acids), we have selected the Strand gene sequence classifier for malware classification.

The OSA1 information has been used for gene classification and assimilation into physical map data [10], [11] and has accelerated genomic analysis of rice [12], [13].

OMA has chosen this gene classification as a basis for the reconstruction of the species tree.

Nguyen et al. (12) described the use of dicodons as a promising feature for gene classification.

Hierarchical clustering analysis (HCL) was performed for gene classification [ 72] using the TMeV software [ 73].

Experimental results have revealed that the combination of the fast correlation-based feature selection method with ICA-based RotBoost ensemble is highly effective for gene classification.