Sentence examples for using a new classification from inspiring English sources
The strongest predictor of SWS was found using a new classification of PWS based on the vascular embryological distribution and not the neural innervation of the face.
While cancers are primarily classified on the basis of the body location where the disease originates, according to their new study, however, one in ten cancer patients would be classified differently using a new classification system based on molecular subtypes instead of the current tissue-of-origin system.
Using a new robust and automated family classification procedure, we exhaustively characterized the LTR-RTs in eight plant genomes for which a high-quality sequence is available (i.e., Arabidopsis thaliana, A. lyrata, grapevine, soybean, rice, Brachypodium dystachion, sorghum, and maize).
It has the advantages of a prospective design and use of a new classification system recommended by the ICRS.
We estimate a complex Wishart model distribution for each class using training data, and we use such models to design a new classification procedure based on a diffusion-reaction equation.
We used a new fMRI pattern classification approach to identify brain regions with independent vs integrated representations.
Using this data, we propose a new classification scheme utilizing methylation data from across the entire promoter and show that an analysis based on this approach, which we call 3R classification, is predictive of progression-free survival (HR = 5.23, 95% CI [2.089 13.097], p<0.0001).
The procedure is founded on multi-objective optimization using non-dominated genetic algorithms, and a new classification criterion of the Pareto optimal set.
The impact of a new classification implies that studies using the former classification become obsolete rending necessary temporally to express data using the two classifications to adapt therapeutic strategy.
Next, we use a new approach to improve classification results based on introducing an adaptive-threshold.
We report a novel approach to integrating biologic and clinical data toward a new classification for childhood arthritis, using computational biology for data-driven pattern recognition.
