getCCAout_single

Internal functions called by getRobustPseudoWeights_single.

internal

A canonical correlation based framework (SmCCNet) designed for the construction of phenotype-specific multi-omics networks. This framework adeptly integrates single or multiple omics data types along with a quantitative or binary phenotype of interest. It offers a streamlined setup process that can be tailored manually or configured automatically, ensuring a flexible and user-friendly experience.

Weixuan Liu

SmCCNet

Sparse Multiple Canonical Correlation Network Analysis Tool

getCCAout_single function

<dl><dt>X1</dt>
<dd>data.</dd>
<dt>Trait</dt>
<dd>phenotype.</dd>
<dt>Lambda1</dt>
<dd>penalty term</dd>
<dt>trace</dt>
<dd>Whether to display CCA algorithm trace.</dd></dl>

Arguments

Internal functions called by getRobustPseudoWeights_single. — getCCAout_single

<dl>

<dt>X1</dt>
<dd>data.</dd>


<dt>Trait</dt>
<dd>phenotype.</dd>


<dt>Lambda1</dt>
<dd>penalty term</dd>


<dt>trace</dt>
<dd>Whether to display CCA algorithm trace.</dd>

</dl>

getCCAout_single: Internal functions called by getRobustPseudoWeights_single.

Description

Usage

Arguments