Sentence examples for ordinary correlation from inspiring English sources

The maximum FPC-based correlation was almost equal to the ordinary correlation (r=0.853 restricted to TSS regions, r=0.796 overall).

We have shown how this methodology can outperform ordinary correlation measurements to uncover correlations between histone marks that are similarly regulated but which do not directly co-localize.

Using the microbial community and gene expression datasets, we demonstrated that eLSA uniquely captures additional time-dependent associations, including local and time-delayed association patterns, when compared to ordinary correlation methods, such as PCC.

The extended LSA analysis technique was demonstrated to reveal statistically significant local and potentially time-delayed association patterns in replicated time series data beyond that of ordinary correlation analysis.

Phi correlation is a special case from the Pearson Product Moment correlation applied to data containing dichotomies [ 3] and is generated by the ordinary correlation formula generally used in factor analysis programs.

Among the many analytical techniques available, the Local Similarity Analysis LSAA) method is unique in that it captures local and potentially time-delayed co-occurrence and association patterns in time series data that cannot otherwise be identified by ordinary correlation analysis.

In the weaker sense, informational connections between events or variables involve no more than ordinary correlations (or perhaps correlations that are "non-accidental" in some physical sense involving causation or natural laws).

But the most important point in the present context is that when a biologist uses this sense of information in a description of gene action or other processes, he or she is just adopting a quantitative framework for describing ordinary correlations or causal connections.

(2011) showed that ordinary correlations are not suitable to analyse metabolomics data from large cohort studies.

Second, a correlation between strain means differs in one important respect from ordinary correlations, estimated from individual values.

Correction for overlap is necessary because ordinary correlations between an item and the scale of which it is a part are spuriously inflated.