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DMRP and JLGP wrote the Perl scripts for the analyses of the datasets.
In addition, post hoc analyses of the datasets and challenge results were performed by the participants and challenge organizers.
In contrast, the results from the analyses of the datasets with simulated missing data were somewhat different.
Central analyses of the datasets provided by the participants did not substantially decrease the CV values indicating that in addition to the gating strategy, there are protocol-related variables that would benefit from harmonization.
Analyses of the datasets with normal samples indicated associations between TIN-estimates and expression levels of splicing factors also in non-cancerous tissues, with strongest associations in normal colonic mucosa (Additional file 1: Figure S4).
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The Fourier analyses of the dataset of dr and dS lead to the same results.
We have presented secondary analyses of the dataset.
This may need to be addressed in future analyses of the dataset using longitudinal approaches.
We found that the clusters obtained correspond with major geographical divisions of the world, which is in agreement with previous analyses of the dataset.
Future analyses of the dataset will draw in more focus on, for example, differences among the countries in self-treatment and the role of health systems.
All the lists were prepared from by standard analyses of the dataset GSE 4051 (calculation of co-expression coefficients within a genotype and differentially expressed genes between genotypes).
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