Sentence examples for datasets we utilized from inspiring English sources

For the analysis of the ChIP-seq datasets, we utilized MACS2 peak caller version 2.1.1 to identify peaks.

Moreover, the PPI datasets we utilized in this research are obtained from the Human Protein Reference Database (HPRD) [ 17], which consisted of 36504 interactions among 9386 genes.

Third, in the view of the serious imbalance in benchmark datasets, we utilized a sampling approach based on the synthetic minority oversampling technique algorithm and K-means clustering undersampling algorithm to rebuild the training set.

For the auroral electrojet index dataset, we utilized the peak-over-threshold (POT) method of EVT (e.g., Coles 2001; Reiss and Thomas 2001) in the same manner as that used by Tsubouchi and Omura (2007).

In each dataset, we utilized the expression profiles to determine the respective Pearson's correlation coefficient r P for each interacting pair of proteins.

To determine the optimal number of topics to represent the dataset, we utilized the information loss and maximum likelihood approach to evaluate varying the number of topics ranging from 10 to 50.

For the replication Caucasian (GCC cases and CCC controls) and African American dbGaP (CAMP trio dataset) populations, we utilized the available genotyping data from the Affymetrix 6.0 SNP chip (http://www.ncbi.nlm.nih.gov/gap).nih.gov/gap

To address these questions, we utilized datasets of genome-wide tissue-specific DNA methylation and gene expression to perform a detailed survey of potential regulatory roles of tissue-specific differentially methylated sites (T-DMRs).

To demonstrate the utility of our methodology, we utilized three datasets: (i) GSE6313, containing C57/B6 adult mouse retina cDNA profiles (Liu et al., 2007), (ii) GSE7785, containing PANC-1 derived cDNA profiles (Tan et al., 2003) and (iii) GSE4854, containing mouse cortex expression profiles (Kuo et al., 2006).

In this study we utilized two datasets of multi-protein complexes.

We utilized administrative datasets that are not designed primarily for research purposes.