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There were also significant differences in OHRQoL between different clinical groups (Table 4).
Multivariate pattern classification, as described in Klöppel et al. [10], was performed with a linear kernel by identifying a separating hyperplane that maximizes the distance between different clinical groups based on whole-brain or ROIs information.
Analysis of Variance (ANOVA) was used to compare bFGF levels between different clinical groups.
More importantly, it practically demonstrates the ability of SOHO-5 to discriminate between different clinical groups.
The new measure also discriminated between different clinical groups in relation to active caries, pulp involvement, and dental sepsis.
Further studies incorporating larger numbers of samples and more sensitive profiling platforms will lead to extended list of oligomiRs commonly shared between different clinical groups of patients.
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Therefore, we analysed 45 genes targeting immune cell subset markers, T regulatory cell markers, effector T cell markers, apoptosis related genes and four housekeeping genes using a dual color multiplex ligation-dependent probe amplification technique (dcRT-MLPA) to assess gene expression profiles to distinguish between the different clinical groups.
The first identified gene probes differentially expressed between the four different clinical groups in the study's sample set; the second, groups of gene probes pair-wise differentially co-expressed between control and MS samples.
In the literature, the level of agreement is found to differ in different age groups, and between clinical groups and normal populations, usually with a higher level of agreement in different clinical groups; furthermore, the parents of children with chronic conditions tend to underestimate their children's HRQoL [ 47, 48].
In addition to using the relationship between OIDP and subjective health status measures for the core assessment of validity, the ability of the index was also assessed to discriminate between different clinical status groups.
Known group validity assesses the extent to which the EQ-5D, SF-6D and DHP-18 dimensions discriminate between different clinical and/or severity groups as defined by other indicators.
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between different clinical cadres
between different clinical stages
between different clinical departments
between different clinical systems
between different socioeconomic groups
between different clinical studies
between different clinical specialties
between different experimental groups
between different clinical symptoms
between different clinical features
between different national groups
between different clinical sources
between different clinical traits
between different racial groups
between different clinical specialities
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