Sentence examples for each other in the data from inspiring English sources

Exact(1)

Quality assessment indicators will affect each other in the data cleaning process.

Similar(59)

Stringent bivariate trimming of data, using only trait values that were similar to each other in the two data sets, substantially improved the correlation of trait values and allele effects in the GWAS, and showed evidence for two QTL on BTA14 separated by 1 Mb.

Briefly, most genes correlated with each other in the Pfaffl data set, with the exception of EFNA1, ABL1, GPM6A and PSCA.

This suggests that reactions with the same OD tend to be found close to each other in the real data (at least compared to the case in which the OD is assigned randomly proportional to their occurrence).

"We believe that website and mobile app testing are no different from each other in the sense that data enables our customers to deliver the best possible experience to their visitors, regardless of device," said CEO Dan Siroker in the product press release.

Starting with the analysis of the prognostic signatures, we observed that most pairs are positively correlated with each other in the human tumor data set (Pearson's correlation > 0.48, P value < 0.0001).

In this instrument, the sampled ensemble of gas and non-refractory particle phase materials interfere with each other in the mass spectra and the data must be systematically analyzed to generate meaningful, quantitative and chemically resolved results.

Duplicated DYS385a (5′-end) and DYS385b (3′-end) loci were located about 41 kb apart and inverted to each other in the Y chromosome, which data was obtained from the human genome sequence in National Center for Biotechnology Information (NCBI), and sequence differences were found at 424 bp down- and upstream of each locus.

On the other hand, some ER target genes, HDAC6, IGFBP4, and IGFBP5, significantly correlated with each other in the low-ERE group (data not shown).

Yet participants engage with each other in the spirit of each gathering data from its own students, and then sharing useful results so all campuses can benefit.

In the former, concepts in adjacent data chunks are sufficiently close to each other; in the latter, genuine concepts in adjacent data chunks may randomly and rapidly changed.

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