There are also many other remarkable results, especially for actions of compact groups (see, e.g., [51], Chap. IV], [62]), but, to the best of our knowledge, no complete explicit classifications beyond group dimension ((n-1)(n-2)/2+2), with (nge 6), have been found.
Cardiorespiratory fitness (CRF) has shown to improve the classification beyond traditional risk factors and cumulative lifetime risk of death, however, there is no formal multicenter database that provides representative sample on a global scale to accurately interpret CRF measures.
To assess each classification beyond a theoretical model, we created a set of 12 different clinical case-scenarios (Figure S4).
A distinct subgroup of BRCAx tumors defined by methylation profiles was identified, supporting the hypothesis that DNA methylation profiling might expand subtype classification beyond mutation analysis.
Also, when added to a model based on traditional risk factors, IL-6 and activin A, but not E/Em or post-exercise recovery loop, improved risk classification beyond conventional CV risk factors as assessed by C-statistics and NRI.
The PARADIGM clustering seems to expand classification beyond traditional immunohistochemistry, as a distinction was found between two clusters within luminal A breast cancer (called the PDGM3 and PDGM4 clusters) and luminal B breast cancer (PDGM4) clusters.
In the realm of medicine, inclusion of clinical and functional genomic data may enhance risk classification beyond what can be done with genomic data alone (Patel et al. 2013), particularly where the relationship between the static genome and dynamic gene function changes over the lifetime of an organism.
We calculated reclassification of risk among patients who experienced the primary outcome and separately among patients who did not experience the primary outcome to determine if findings on coronary computed tomographic angiography improved risk classification beyond that achieved with the revised cardiac risk index clinical model.
Alongside Manhattan socialites, Beverly Hills hipsters and rich white women from Greenwich and Bedford, Conn., Short Hills ladies merit their own classification in "Beyond the Blonde" (Warner Books), by Kathleen Flynn-Hui, a Manhattan hair colorist.
We also found that although Sentinel-1 provides an independent measure that should be sensitive to surface moisture and roughness, it currently adds relatively little to classification performance beyond what is possible with Landsat.
For women, clear weight-based patterns in the data are apparent as BMI classification increases beyond normal weight.
