It is built on a common set of characteristics among prevailing approaches of social innovation.
Despite these differences, our analyses show that F element genes in all four species generally share a common set of characteristics that presumably reflect the local environment and could contribute to their ability to function in a heterochromatic domain.
That study shows that, although cancer stem cell populations may be heterogenous, they in fact share a common set of characteristics such as expression of stem cell regulatory genes, expression of cell surface markers, mammosphere formation, and tumourigenicity in xenografts, which may be exploited for targeting cancer stem cells [ 118].
In the United States, for example, the people identified as African Americans do not share a common set of physical characteristics.
While this result suggested that different prognostic gene signatures may track a common set of biological characteristics, the question remains that why there is a lack of consensus gene expression models for prognosis.
We and others have shown that these and other prognostic gene expression profiles are, in fact, similar in terms of outcome predictions despite a lack of gene overlap, suggesting that they each track a common set of biologic characteristics [ 6, 7].
To further evaluate the performance of the top three signatures, we examined five datasets (BR1042, BR1095, BR1128, BR1141, and GSE7390) sharing a common set of clinicopathologic characteristics including tumor size, grade, lymph node status, and Nottingham Prognostic Index (NPI) [ 54, 55].
In other words, consumers who share a common set of attitudinal, perceptual, and sociological characteristics are more likely to share a particular set of needs than, say, consumers in the same age or income group.
25 It provides a means of distinguishing the effect of sampling differences from (1) measurement variation and/or (2) statistical model instability, by attempting the replication of an analysis of a common set of measures across different samples of known characteristics.
Raissi et al. (2012) prioritize engineering characteristic in QFD using fuzzy common set of weight.
Raissi et al. (2012) prioritized engineering characteristic in QFD using fuzzy common set of weight.
