Sentence examples for using datasets generated by from inspiring English sources

An additional set of simulations were performed to gain insight in this issue (data not shown) using datasets generated by an additive genetic model (two QTLs without interaction; Figure 1a) and comparing model selection approaches that search all 1-, 2-, and 3-marker models that include interactions between markers (full models) and without interactions (main effects models).

Results demonstrated poor concordance when comparing amiodarone ADR relative frequencies using datasets generated by a meta-analysis of six RCTs, case reports, and spontaneous reports sent to the WHO.

Using 100 random datasets generated by module randomization, network construction was repeated 100 times for the global network and module-specific networks to determine whether regulatory relationships are generated by random data.

Computational performance of the model is tested using datasets randomly generated by the software GAMS.

In order to understand the expression patterns of miR- -5p and miR- -5p pairs, we analyzed themiR- -5p miRNandsomiR- -3pls using smiR- -3p sequencing datasets generated by The Cancer GenomiR- -3p (TCGA) pairs project established by the NCI and NHGRI.

It is primarily designed for use with MS2 datasets generated by CID MS scan of a peptide mix subjected to targeted proteomics.

Two types of synthetic datasets generated by using GeneNetWeaver [ 11] were used as test cases in this paper, one for E. coli and the other for yeast.

To better compare the performance of Cohen's h with other methods including Combined Multivariate and Collapsing Method (CMC) [ 15], Weighted Sum Statistic (WSS) [ 16] and Variable Threshold (VT) [ 17], we used simulated rare variants datasets generated by the SimRare program ([ 27], http://code.google.com/p/simrare/).com/p/simrare/

Figure 4c f shows the slip distributions from the inversion of hr-GPS synthetic datasets generated by using the prior checkerboard slip model, with and without the aid of OB-GPS synthetic data.

Analyses of 20 imputed complete datasets, generated by using multivariate normal imputation, 33 provided results that indicated essentially the same conclusions as the complete case analyses reported here.

These results support the robustness of the class predictor, as clear separation was observed in independent datasets generated by using different microarray platforms and normalization methods.