Sentence examples for based on one dataset from inspiring English sources
The only difference between them was that iASeq used information from multiple datasets whereas singleEM was based on one dataset only.
For example, one author told us that the reported p value was based on one dataset and that the test statistic and df were based on a different, former dataset, which contained an incorrect value.
More importantly, our approach can link potential biomarker with TF regulation, miRNAs targeting information, and pathway mechanism into one testable hypothesis, which would not have been done based on one dataset.
MCGM problem is even more challenging compared with mapping based on one dataset due to additional complications, namely, genetic and ecological differences in recombination rates and exchange distribution along chromosomes (Korol 2001), variations in dominance of the employed markers (Mester et al. 2003b), and different subsets of markers used by different labs.
First, we selected the optimal set of features (i.e., pathway markers) based on one dataset, by optimizing the AUC metric.
Our analysis was based on one protein dataset [ 4] and two microarray datasets [ 5, 6].
The evaluation was based on one quail dataset with known camera calibration.
Finally, in a previous effort [20], we compared eight sentence-level sentiment analysis methods, based on one public dataset used to evaluate SentiStrength [11].
Another gross error was attributed by the authors to the use of a p value based on one version of the dataset and the use of a test statistic and df that were based on a former version of the dataset.
The median unadjusted sibling coefficient value based on one observation per country dataset presented in Appendix B is 0.040, and the corresponding adjusted value is 0.031; the adjusted coefficient is smaller than the unadjusted one in 29 of the 31 cases.
Based on one of the largest datasets used in this literature, the results of this study reinforce the concept that overweight and obesity increases the risk of developing multiple and costly chronic diseases.
