scalingFactorInput

Input the vector of the annotation of each type of dataset in the data list X (e.g., <code>c('gene', 'protein')</code>), and return prompt ask the user to supply the scaling 
factor for SmCCNet algorithm to prioritize the correlation structures of 
interest. All scaling factor values supplied should be numeric and nonnegative.

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

scalingFactorInput function

<dl><dt>DataType</dt>
<dd>A character vector that contains the annotation of each type of omics dataset in X.</dd></dl>

Arguments

Scaling Factor Input Prompt — scalingFactorInput

<dl>

<dt>DataType</dt>
<dd>A character vector that contains the annotation of each type of omics dataset in X.</dd>

</dl>

scalingFactorInput: Scaling Factor Input Prompt

Description

Usage

Value

Arguments

Examples