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While larger studies must be performed, our data support a model where dominance of an organism within the lung's microbial community is associated with disease.
Although co-localization studies with Notch3-ECD could not be performed, our data provide evidence for an involvement of the TGF-β pathway in CADASIL pathogenesis.
Remarkably, although no biochemical enrichment for centromeres was performed, our data set contained all known centromeric subcomplexes, with peptides from 125 reported centromere proteins (eight present as multiple isoforms) (Table S1).
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For this reason we performed our strategy for data modeling based on orthogonal constrained PLS-DA that allowed us to exclude the effects of vintage on the metabolite profile.
To address the limitations posed by missing data we performed our primary analysis in the complete case data.
We performed our analyses using both data sets but present only results using all alleles unless the observations are different between the two data sets.
We therefore performed our analyses by comparing data collected from NIDUs (N = 121) and IDUs (N = 159) in the 14 participating programs.
We performed our study using the data of Luscombe et al. [ 6] because we wanted to compare the cycles with physiological subnetworks described in their paper.
Second, we perform our own data calibration process to get accurate acceleration data.
Since only analysis on de-identified data was performed, our study was exempt from institutional review board oversight.
Since these data showed significant seasonal trends, seasonal decomposition using the additive method was performed and our data are presented as both raw and seasonal-adjusted data.
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