intersim_data_gen

Generate the simulated dataset with three modalities with the package InterSIM

Multi modality data matrices are factorized conjointly into the multiplication of a shared sub-matrix and multiple modality specific sub-matrices, group sparse constraint is applied to the shared sub-matrix to capture the homogeneous and heterogeneous information, respectively. Then the samples are classified by clustering the shared sub-matrix with kmeanspp(), a new version of kmeans() developed here to obtain concordant results. The package also provides the cluster number estimation by rotation cost. Moreover, cluster specific features could be retrieved using hypergeometric tests.

Xiaoyao Yin

M3JF

Multi-Modal Matrix Joint Factorization for Integrative
Multi-Omics Data Analysis

intersim_data_gen function

<dl><dt>prop</dt>
<dd>proportion of samples for each cluster</dd>
<dt>n_sample</dt>
<dd>the number of samples</dd></dl>

Arguments

Generate the simulated dataset with three modalities with the package InterSIM — intersim_data_gen

<dl>

<dt>prop</dt>
<dd>proportion of samples for each cluster</dd>


<dt>n_sample</dt>
<dd>the number of samples</dd>

</dl>

intersim_data_gen: Generate the simulated dataset with three modalities with the package InterSIM

Description

Usage

Value

Arguments

Examples