create the machine learning dataset from the gene expression matrix and the

make.MLdataset {sampleInfo}

R Documentation

create the machine learning dataset from the gene expression matrix and the

Description

sample group information

Usage

make.MLdataset(x, sampleinfo);

Arguments

[as Matrix]

sampleinfo

a vector of the SampleInfo sample information data: the ID property of the sample data should be matched with the sample columns of the given expression matrix, and the sample_info. [as SampleInfo]




        Details

        the sample data that its id is not exists in the expression matrix will be skipped with a warning message.

        
Authors

        phenotype_kit

        Value

        a vector of the EntityClusterModel data entity: the ID property is the sample id, the Cluster property is the sample group label and the Properties property is the expression value of each gene feature in the corresponding sample.
clr value class
any kind

        Examples

        

        
        [Package sampleInfo version 1.0.0.0 Index]