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For the LAP score, we give all Illumina datasets weight 1 and the PacBio dataset weight 0.01.
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While the combination of KO+KD accounts for half of the total dataset weights, the largest individual portion stems from the TC data.
A strength of this study is that the findings are based on a very large nationally representative dataset; weights were employed to adjust for study design and non-response.
Distributions of key properties of the three filtered datasets (molecular weight, AlogP, number of rotatable bonds, number of H-bond donors and acceptors) are given in Additional file 1: Figures S3 S5.
The length, geographic spread, and syndrome variation of the study datasets lend weight to the results.
Representative BMD modeling results are shown in Figure 4A for the continuous dataset (body weight changes) and Figure 5A for the quantal dataset (tumors).
All datasets included weights to calculate national estimates.
According to their particular classification quality on the training dataset, a weight α is assigned to them.
Weight denotes the dataset's weight in each species.
Considering the unbalance of our dataset, the weight parameter of negative samples was set as negative/positive samples ratio.
Post harmonization algorithms are developed by finding a "common denominator" to merge the datasets and weights are calculated to adjust for differences in age and sex distribution across the datasets.
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