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> Standard data formats and annotations are required to make data comparable.
Normalization is required to make data comparable across experiments and to reduce the impact of non-biological variability.
Corder et al. [ 2] suggested multiplying the data derived from the AM7164 with 0.91 in order to make data comparable with data from GT1M.
Central concepts of data integration (ii) are metadata (systematic descriptions of data), standardization and annotations in order to make data comparable.
For all significant results, effect sizes were calculated (Cohen's d for t-tests, r-values for Chi and Mann–Whitney-U-tests. R-values were then transformed into Cohen's d-values, to make data comparable).
Specifically, the web-platform can be divided into two main parts: i) access to uniformily annotated data files (including metadata to make data comparable) with a focus on supporting kinetic modeling, and ii) user-friendly tools to facilitate the building of large-scale kinetic models.
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Human judgment must still play a role in ensuring that data are comparable and/or in making data comparable.
In order to make data after 2008 comparable with those before 2008, we gave each patient a new ID for each year and hospital.
To make data from two platforms comparable, we have trimmed the last 8bp on each Illumina Hi-Seq read.
Moreover, agreement on usage of standardized objective measures of treatment responses is of critical importance because this will make data from different studies comparable.
To make data on M. coronatus comparable with data on other species, we omitted inclusion of data on males that were not in breeding condition, as could be indicated by non-breeding plumage (e.g., in subsets in [ 57, 62]).
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