Sentence examples for dataset indicates that most from inspiring English sources

Despite the relatively small number of other gymnosperm FL sequences available for pairwise comparison, the high sequence similarity within this dataset indicates that most of the 6,464 FLcDNAs represent true FL transcripts with complete ORFs and correctly annotated start and stop codons.

Parsimony and PCoA analysis of the resultant EST-marker dataset indicated that most accessions cluster in accordance with the previously defined classification of primary (C. arietinum, C. echinospermum and C. reticulatum), secondary (C. pinnatifidum, C. bijugum and C. judaicum), and tertiary (C. yamashitae, C. chrossanicum and C. cuneatum) gene-pools.

Further, these datasets indicate that, most likely, <5 10% of perfect consensus ERE sites in the genome are ERα-bound in response to E2 in MCF7 cells.

However, our testing on a yeast dataset indicates that the prior accuracy can be much lower and still result in a small improvement over most sparsity levels.

A high R-value for a dataset indicates that the dataset contains wide overlapping areas among its categories, and classification accuracy on the dataset may become low.

Our dataset indicates that miR-21 is highly responsive to androgen treatment in normal prostate.

The joint dataset indicates that 11% (2339 proteins) of the human proteome may undergo S-palmitoylation.

The SD was noticeably higher in the Nascent-Seq dataset than in the RNA-Seq dataset, indicating that the transcription of most AR-R genes is indeed variable compared to the mRNA-Seq dataset.

In conclusion, our results based on this unique international dataset indicate that case-specific factors may have greater impact on the most important ERCP quality metric (biliary cannulation success), than endoscopist-specific ones.

Examination of the ABCWUA dataset indicated that arsenic concentrations in several wells were correlated with pumping.

Analysis of the GATA5 comparison dataset indicated that the pooling scheme allowed for accurate subject identification.