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Here we describe the optimisations and measure the performance on several chemical datasets (Table 1).
The weights attached to the different datasets are clearly linked to the estimated accurateness of the datasets (Table 4).
These models were developed using remaining ~ 90% data during training/testing respectively for each of the six datasets; Table S2.
The Austrian Marchfeld region has been chosen as case study analysis because many datasets (Table 1) are readily available.
The molecular clock was rejected for very few datasets (Table 1).
Similar results were found for the HIV-1 and HIV-2 Control datasets (Table S1).
Mean birthweight varied by sociodemographic characteristics in both the datasets (Table 2).
Where possible, we integrated published sequences of numerous atyid species into our datasets (Table 2).
This was true for both river and coastal datasets (Table 1).
Importantly the IGF1 signaling pathway was also over-represented in two 'corrected' SN datasets (Table 5).
These relationships are confirmed using multiple different genetic and environmental robustness datasets (Table 1).
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