Sentence examples for dataset analysis showed from inspiring English sources

More importantly, the tumor- promoting function of C1orf63 might not be limited to breast cancer, because gene expression dataset analysis showed that C1orf63 expression was also elevated in several other cancer types, including lung, prostate and hepatocellular carcinoma.

Histograms the distributions of positive spots of these three datasets analysis show a normal distribution which is shifted to the right (Histogram S1, S2 and S3).

For the Frontiers dataset, the analysis showed an error rate of 7.5% mostly due to assignment of female gender to authors and reviewers who were actually male.

For this dataset, parsimony analysis shows a length of 27412 steps, with CI =0.313, RI = 0.499.

These kinases were excluded from the dataset after a preliminary analysis showed that they had too few shared activities to be able to compare SAR similarities of kinases accurately.

De novo motif analysis as well as investigation of known JunD TFBS showed significant enrichment of JunD motifs in all 4 datasets De novo motif analysis showed an enrichment P-values of 3.1e-87 3.1e-874 and 2.6e-34 for WKY basal, WKY LPS and WKY.L Crgn2 basal conditions respectively.

The analysis showed that our dataset had high power (> 90%) of detecting population structure even at a low level of genetic differentiation (Fst = 0.005, Additional file 3), and α error was less to 5% in all cases.

The analysis showed that the datasets presented can be utilized for predictive analysis on a monthly or yearly basis with good statistical correlation.

This analysis showed that the datasets generated using the 27F and 534R primers did not generate significant differences in microbial diversity at 97, 95, and 90% OTU definition (P>0.05; p = 0.10, R = −0.229 at 97% similarity level; p = 0.179, R = 0.083 at 95% similarity; p = 0.001, R = 0.396 at 90% similarity).

This analysis showed that the three datasets were largely distinct.

Phylogenetic analysis showed the same population structure based on the reference-derived dataset, the de novo derived dataset, and a dataset consisting of SNPs called by both pipelines.