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Technically, we compile for each parameter set a new connectivity map algorithmically, that is, solely the target specificity input for the algorithmic compilation procedure is changed so that the experimental data are fully respected.
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The procedure is classic.
In the 3 Scandinavian countries included in this study the frequency of these procedures is low, which underscores the value of compilation of the national databases.
Whereas, the Potapov-DB compilation procedure gives equal weight to the various conditions at which ΔΔG values are measured.
The NFI data compilation procedure provided regionally applicable allometric equations; however, the errors in this large pool of equations have not yet been estimated and therefore is a limitation.
PoPMuSiC-DB's compilation procedure used a weighted average of the identical mutations occurring in different conditions to calculate the ΔΔG values that are most likely to occur at physiological conditions.
Procedures are recommended which would increase the transparency of solubility database compilation in future analyses.
The stepwise procedures are as follows: (i) defining the 'system boundary' of the product life cycles, (ii) data collection, (iii) compilation and validation of emissions flows and (iv) identification of hot-spots and emissions reduction opportunities.
And what a compilation it is!
The compilation framework is built using compilation and high-level synthesis techniques.
We show that the general compilation problem is NP-complete.
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