export_mim

 methods 

Computes mutual information matrices from continuous, categorical
and survival variables, as well as feature selection with minimum redundancy,
maximum relevance (mRMR) and a new ensemble mRMR technique. Published in
De Jay et al. (2013) <doi:10.1093/bioinformatics/btt383>.

Benjamin HaibeKains

mRMRe

Parallelized Minimum Redundancy, Maximum Relevance (mRMR)

Nicolas De Jay

Simon Papillon-Cavanagh

Catharina Olsen

Gianluca Bontempi

Bo Li

Christopher Eeles

Benjamin Haibe-Kains

export_mim function

<dl> <dt>dataMatrix</dt>
<dd>...</dd> <dt>priorsMatrix</dt>
<dd>...</dd> <dt>priorsWeight</dt>
<dd>...</dd> <dt>sampleStrata</dt>
<dd>...</dd> <dt>sampleWeights</dt>
<dd>...</dd> <dt>featureTypes</dt>
<dd>...</dd> <dt>sampleCount</dt>
<dd>...</dd> <dt>featureCount</dt>
<dd>...</dd> <dt>sampleStratumCount</dt>
<dd>...</dd> <dt>continuousEstimator</dt>
<dd>...</dd> <dt>outX</dt>
<dd>...</dd> <dt>bootstrapCount</dt>
<dd>...</dd> <dt>miMatrix</dt>
<dd>...</dd></dl>

Arguments

Nicolas De Jay, Simon Papillon-Cavanagh, Benjamin Haibe-Kains

Author

Export mim — export_mim

<dl>

 <dt>dataMatrix</dt>
<dd>...</dd>

 <dt>priorsMatrix</dt>
<dd>...</dd>

 <dt>priorsWeight</dt>
<dd>...</dd>

 <dt>sampleStrata</dt>
<dd>...</dd>

 <dt>sampleWeights</dt>
<dd>...</dd>

 <dt>featureTypes</dt>
<dd>...</dd>

 <dt>sampleCount</dt>
<dd>...</dd>

 <dt>featureCount</dt>
<dd>...</dd>

 <dt>sampleStratumCount</dt>
<dd>...</dd>

 <dt>continuousEstimator</dt>
<dd>...</dd>

 <dt>outX</dt>
<dd>...</dd>

 <dt>bootstrapCount</dt>
<dd>...</dd>

 <dt>miMatrix</dt>
<dd>...</dd>

</dl>

Export mim

export_mim: Export mim

Description

Value

Arguments

Author