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Datasets consist of all of the information gathered during a survey which needs to be analyzed.
Datasets consist of sets of coregulated genes from the reference species.
Datasets consist of coregulated genes in the reference species (coregulation space) complemented with their respective orthologs (orthologous space).
Datasets consist of any input, output, or intermediate data files within an analysis pipeline.
In addition, both datasets consist of positions with reference to genomic coordinates, providing a consistent platform for direct comparison.
Since the datasets consist of many input attributes, decision tree (DT) was used to unravel the attributes that contribute towards the diagnosis.
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Vondrick and co use the noise-based process to generate datasets consisting of 100,000 images.
Datasets consisted of hundreds of samples in various genomic and/or environmental perturbational settings.
Datasets consisted of mitochondrial and nuclear data.
These two datasets consisted of 191 387 and 202 340 reads, respectively.
Six sub-datasets consist of six time points and one consists of twelve points.
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