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Here the training datasets were composed of the stratified random sample values and their co-aligned values from the 12 remote sensing layers.
The datasets were composed of the sequences obtained in this study and taken from GenBank (Table 1), with the aim to elucidate phylogenetic distances between the new taxon and other Hyphoderma species.
These datasets were composed of RT genes for which at least 50% of the tissues in which they were expressed belonged to that cluster.
Both datasets were composed of 50 genes with comparable length and different average pairwise identities (61% in fungi, 49% in the mixed set).
The OV, LUSC, and LAML datasets were composed of 585-sample Affymetrix Human Genome U133A Arrays, 133-sample Affymetrix Human Genome U133A Arrays, and 197-sample Affymetrix Human Genome U133 Plus 2.0 Arrays, respectively.
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Many of the existing facial expression datasets are composed of a set of posed face images not captured in a realistic affective-interaction setting.
All models were trained on the three different training datasets denoted as A, B, and C. The datasets are composed of two parts, set of seven features computed from Kinect data for attention prediction, and reference observed attention data.
Positive training datasets are composed of peptides including the experimentally verified methylated lysines and arginines from SWISS-PROT database (release 48) plus manually curated data from PubMed literatures.
The negative subset in some datasets is composed of known polymorphisms [ 2].
The unigene datasets are composed of high quality and clean sequences, which are assembled into contigs and singletons [ 81].
The simulated datasets are composed of four libraries (15× each for the 200 bp, 300 bp, 400 bp and 600 bp libraries).
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CEO of Professional Science Editing for Scientists @ prosciediting.com