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We chose to define our starting signatures using this dataset in order to assess how much information could be derived despite the limitations in size and age.
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We used this dataset in one of our previous studies on early blindness, which focused on the diffusion changes of the white matter in early blind subjects [39].
We use this dataset as the detrended dataset in the following analysis.
We thus used this gene dataset in our previous genome-wide transcriptome data of human NMIBC samples [ 16].
The words used in this dataset were as follows: "Government," "Yesterday," "Tradition," and "Younger".
Several techniques are used in this dataset for shape and leaf classification.
The restriction enzyme used in this dataset cuts the human genome over 830,000 times.
The tissues used in this dataset were collected from surgically excised liver for treatment of HCC.
The second commonly used dataset in this work is American football [20] with 115 nodes.
We use four datasets in this study: (1) Geo-positioning data.
We used two datasets in this study.
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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