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To avoid skewness (due to unbalanced classes), all dataset were balanced,2 thus they have the same quantity of positive and negative examples.
The sequences of all dataset were aligned using Clustal X and manually edited by Bioedit as already described [ 14].
Genes whose function was predicted only [R] or unknown [S], representing about 19% of the all dataset were removed from further analyses.
In order to avoid statistical bias, the functional classes represented by less than a hundred sequences, namely [M], [N] and [Y], accounting overall for less than one percent of the all dataset, were also removed.
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In Figure 2A the average performance of all methods on the ALL dataset is displayed.
The average localization precision for all dataset is approximately 19 nm (±6 nm, SD).
All datasets were integrated into a Geographic Information System.
All datasets were processed by both PPP method and relative GPS method.
All datasets were corrected for radioactive decay.
All datasets were presented in the main paper.
Data conversion first began by ensuring that all datasets were stored under a common.csv file type.
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