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Considering the effects of publication bias, the association may be truly neutral – as suggested by our data analysis.

Our ability to identify so many differentially expressed genes by measuring mRNA hybridization intensities from just ten surgical samples was strongly effected by our data analysis strategy.

This is supported by our data analysis stratifying the menopause status showing that cases had higher levels of PFCs and legacy POPs than controls both for the premenopausal women as well as postmenopausal women.

Interestingly, a more detailed comparison of the genes represented in the T. reesei EST set and the UPR dependently up-regulated genes revealed by our data analysis or by [ 2] showed relatively few homologous genes in common.

Thus, it is predictable that trimming has a greater effect on the S2 data set than on the S1 data set, which has been shown by our data analysis.

The next four sections discuss the themes and their relationships revealed by our data analysis with respect to modularity principles and practices that are currently used by the case organizations and the four dimensions of demand-base care.

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By combining our data analysis with a model of the coronal magnetic field, we compute the magnetic field topology associated with the two M flares.

We began our data analysis by describing the frequency distribution of all variables according to the level of noise exposure.

The discrepancies in study design and methodologies have been taken into account in our data analysis by fitting "study cohort" into the models as a co-variable, and by making a meta-analysis based on risk estimate of each single study.

We also validated our data analysis pipelines by using two recent independently developed bisulfite methylation analysis program (BS-Map and Bismark) [ 21- 23] on the data from ref. [ 6] and were again able to identify non-CG methylation sites (Additional file 2: Table S2 and Additional file 1: Figure S2).

These biases must be taken into consideration because they can limit the representativeness of the findings yielded by our data mining analysis.

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