Sentence examples for dataset were generated with from inspiring English sources

From 1 cluster (for the ERR_alpha_agonist, ROR_gamma_antagonist, and RXR_gamma_antagonist datasets) to 65 clusters (for the ER_alpha_agonist dataset) were generated, with an average of 18 clusters per dataset and a mean value of 7.8 ligands per cluster.

Records in each dataset were generated with errors typically found in administrative data.

Five imputed versions of the dataset were generated, with results computed for each of those datasets; results were then combined with Rubin's rules.

Their dataset was generated with the assistance of students who manually labeled 6000 reviews collected from Epinions.com, 1394 of which were labeled as review spam.

A synthetic dataset is generated with (N = 100,000) points using 3 parameters, namely the number of clusters ((K)), the inter-cluster distance ((l)) and the distribution of points in clusters ((alpha)).

The ABi transcriptome dataset was generated with an iterative mapping approach.

The control dataset was generated with the Illumina Infinium HumanMethylation450 BeadChip Kit.

Dataset was generated with Affymetrix U133 Plus 2 arrays and analysed using the software of the Affymetrix Expression Console.

A second dataset was generated with only the highly populated groups: TK, TKL, Atypical_PI3-PI4, CAMK, RGC, CMGC, AGC and Atypical_ADCK.

The first two sub datasets are sequenced by Illumina's Solexa platform, while the third dataset is generated with ABI's SOLiD platform.

This dataset was generated with the software QMsim that simulates data based on the population structure of commercial livestock animals [ 18].