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DZ built the dataset and gave suggestions on the experimental analysis.
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DK built the dataset of computational experiments and developed the concept.
The parameters used to built the dataset where then used to run the motif finding tools on that dataset.
To build the dataset, both w and (varvec{x}) are matrix in the classifier (1), and therefore w and (varvec{x}) will be vectorized to apply L2-regularized L2-loss SVC (2).
These samples were combined to build the dataset called "Europe, others" in the following text and tables.
The variables considered to build the dataset are lattesId (researcher identification number), year (year of publication), title (title of publication), and publicationId (publication identification).
As a result, 2312 protein chains with 816,621 residues (average length is 353) are collected to build the dataset PSAP2312 May 20122).
A closer look at the interactomes is thus recommended, as protein associations may find stronger or weaker justification in relation to the specific sources used to measure them and build the datasets.
The number of annotators used to build the datasets is also shown in Table 3.
LC build the datasets from EcoCyc.
We have used the CAMP peptide database [17] to build the positive dataset and the Uniprot database to construct the negative dataset as described in the Methods section.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com