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Datasets preparation In this case study, we used four datasets, which are described in Table 1.
SAM carried out the accumulation of datasets, preparation of the predictors, data analysis and drafted the manuscript.
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Dataset preparation During this comparison, we prepared two datasets for wwPDB CCD: CCD_gen and CCD_exp.
The Methods section begins with a description of the dataset preparation in Section 1 titled "Selection and Preparation of Datasets…".
The adoption of these dataset preparation steps argues for a strong construct validity in our study.
We also discuss dataset preparation steps conducted to mitigate shortcomings from previous studies (Section 3.4).
BZ carried out the GIS dataset preparation, and helped to draft the manuscript.
Table 4 AmaLgam effectiveness with dataset preparation steps Technique Hit@1 Hit@5 Hit@10 AmaLgam 20%46%57%7%.
Some of the dataset preparation, running of experiments and post processing of results were accelerated by PAR [32].
We can utilize this new tool to identify and highlight chemotype-specific behaviour, e.g. in dataset preparation.
In Section 3, we describe (i) dataset preparation; (ii) generalized HMMs; (iii) the generalized footprint state structure for gene finding; (iv) the measures of accuracy used.
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