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A reason why AoL may predict a higher level of risk compared with IHC4+C is that it is based on clinical data that was mainly collected in the era preceding breast screening, and may disproportionately convey risk statistics associated with breast cancers that are biologically more aggressive, whereas IHC4+C is based on outcomes from a low-risk breast cancer population.

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BindingDB and PDBbind provides ligand target interaction experimental affinity data that are mainly collected from scientific literature and other auxiliary databases such as ChEMBL.

Is it possible to develop evolutionary models for such data (that are mainly quantitative and not discrete characters)?

Our study may be criticized for data that are mainly based on perceived health status and self-reported, subjective assessments of patients, but such evaluations have proven to be valid measures of health in general populations [ 29, 30].

To determine the association of these dietary-fat induced changes in the small intestine with development of obesity and/or insulin resistance, we linked them to previous data that were mainly obtained by using null- and transgenic mice models (Table 1).

Further improvements in the model might be obtained by incorporating limited data on adherence that was mainly self-reported by participants.

Interestingly, plotting the analogous difference in the B r component predicted by the VFM 2015.0 and N-VFM 2015.0 auxiliary model reveals a much weaker effect (Fig. 5b), showing that it is again the mismatch in the directional information provided by ASM-V and VFM data sets that is mainly responsible for the enhancement of this high-latitude effect.

Utilization of the coordinates of the LLRR and the radiotracked ALSEP sites located around the equatorial region (external) along with the formation of crossovers from the laser altimeter data records that are mainly located in polar region (internal) ensure a global lunar spatial coverage for comprehensive accuracy assessment.

Therefore, the clustering algorithm subdivided the data set into clusters that are mainly characterized by subdivisions along the main coordinate axes.

9 We previously analyzed gene expression data of cancer cells that were mainly treated with classical antitumor agents, including DNA topoisomerase inhibitors, anti-metabolites, and tubulin-binding agents.

The data that are available are mainly from animal studies (Gerber et al. 2004, Rubino et al. 2007, Liu et al. 2011, Kim et al. 2012) and a few cadaveric and biopsy studies (Nakagaki et al. 1996, Steinbacher et al. 2010).

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