Sentence examples for classification to complement from inspiring English sources
We have also examined individual mitochondrial genes (cox1, cob, nad5) and rDNA internal-transcribed spacers (ITS), which have been proposed as markers for species identification and classification to complement common nuclear DNA markers [ 10].
More than a decade ago, gene expression analysis was proposed as a method to complement classification schemes based on tumor morphology because it was well known that tumors with similar histopathological appearance can have considerably different clinical outcomes (6, 9).
The implicit consideration of multi-domain architectures is a valuable inclusion to complement other classification schemes.
Because the DC:0-3/DC:0-3R was intended to complement existing classification systems, such as the DSM-IV and ICD-10, its structure has great overlap with these systems, despite clear developmental adjustments.
The proposed subsolum classification system is not intended to substitute geological surveys, but rather to complement existing soil classification systems such that at least the whole 2 m can be categorized.
They proposed to complement Izhikevich's classification by providing information on this measure of complexity.
In addition probabilistic approaches can be used to complement the forest classification by risk factors that describe the probability of degradation, based on proxies such as past level of human interventions, accessibility or population density.
For laboratory risk factors, two optimal models with significantly associated variables were derived and proposed to complement the WHO classification system.
These results indicate that EBV DNA alone is insufficient to complement the TNM classification, and plasma D-dimer levels represent a complementary marker to EBV DNA leves for the prediction of NPC patient prognosis.
As a result of this mapping, several more category assignments were added to complement the LIPID MAPS classifications.
Furthermore, our neural network models correctly classified 74% of all siRNAs into different efficiency categories; with a correlation coefficient of 0.43 and receiver operating characteristic curve score of 0.78, thus highlighting the potential utility of this method to complement other existing siRNA classification and prediction schemes.
