relativeCorPredictionSuccess

Compare prediction success of several gene screening methods.

 misc 

Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.

Peter Langfelder

WGCNA

Weighted Correlation Network Analysis

Steve Horvath

Chaochao Cai

Jun Dong

Jeremy Miller

Lin Song

Andy Yip

Bin Zhang

relativeCorPredictionSuccess function

<dl> <dt>corPredictionNew</dt>
<dd>Matrix of predictor statistics</dd> <dt>corPredictionStandard</dt>
<dd>Reference presdictor statistics</dd> <dt>corTestSet</dt>
<dd>Correlations of predictor variables with trait in test set</dd> <dt>topNumber</dt>
<dd>A vector giving the numbers of top genes to consider</dd></dl>

Arguments

Author

Compare prediction success — relativeCorPredictionSuccess

<dl>

 <dt>corPredictionNew</dt>
<dd>Matrix of predictor statistics</dd>

 <dt>corPredictionStandard</dt>
<dd>Reference presdictor statistics</dd>

 <dt>corTestSet</dt>
<dd>Correlations of predictor variables with trait in test set</dd>

 <dt>topNumber</dt>
<dd>A vector giving the numbers of top genes to consider</dd>

</dl>

Compare prediction success

relativeCorPredictionSuccess: Compare prediction success

Description

Usage

Value

Arguments

Author

See Also