dCorrs

Z-transforms correlation coefficients (Pearson or Spearman) and then calculates the difference in z-scores between the two conditions divided by the square root of the standard errors (which is inversely proportion to the sample sizes used to calculate the correlations).

Performs differential correlation analysis on input
matrices, with multiple conditions specified by a design matrix. Contains
functions to filter, process, save, visualize, and interpret differential
correlations of identifier-pairs across the entire identifier space, or with
respect to a particular set of identifiers (e.g., one). Also contains several
functions to perform differential correlation analysis on clusters (i.e., modules)
or genes. Finally, it contains functions to generate empirical p-values for the
hypothesis tests and adjust them for multiple comparisons. Although the package
was built with gene expression data in mind, it is applicable to other types of
genomics data as well, in addition to being potentially applicable to data from
other fields entirely. It is described more fully in the manuscript
introducing it, freely available at <doi:10.1186/s12918-016-0349-1>.

Andrew McKenzie

DGCA

Differential Gene Correlation Analysis

dCorrs function

<dl><dt>rho1</dt>
<dd>Numeric vector of correlation coefficients in condition 1.</dd>
<dt>n1</dt>
<dd>Numeric vector of the number of samples used in the correlation calculations in condition 1.</dd>
<dt>rho2</dt>
<dd>Numeric vector of correlation coefficients in condition 2.</dd>
<dt>n2</dt>
<dd>Numeric vector of the number of samples used in the correlation calculations in condition 2.</dd>
<dt>corrType</dt>
<dd>The correlation type of the analysis, limited to "pearson" or "spearman".</dd></dl>

Arguments

Differential correlation between two conditions. — dCorrs

<dl>

<dt>rho1</dt>
<dd>Numeric vector of correlation coefficients in condition 1.</dd>


<dt>n1</dt>
<dd>Numeric vector of the number of samples used in the correlation calculations in condition 1.</dd>


<dt>rho2</dt>
<dd>Numeric vector of correlation coefficients in condition 2.</dd>


<dt>n2</dt>
<dd>Numeric vector of the number of samples used in the correlation calculations in condition 2.</dd>


<dt>corrType</dt>
<dd>The correlation type of the analysis, limited to "pearson" or "spearman".</dd>

</dl>

dCorrs: Differential correlation between two conditions.

Description

Usage

Value

Arguments

References

Examples