filter.std modified by Mfuzz filter.std

filter.std

using filter.std to filter low expression genes

Streamlining the clustering and visualization of time-series gene expression data from RNA-Seq experiments, this tool supports fuzzy c-means and k-means clustering algorithms. It is compatible with outputs from widely-used packages such as 'Seurat', 'Monocle', and 'WGCNA', enabling seamless downstream visualization and analysis. See Lokesh Kumar and Matthias E Futschik (2007) <doi:10.6026/97320630002005> for more details.

Junjun Lao

ClusterGVis

One-Step to Cluster and Visualize Gene Expression Data

Jun Zhang

filter.std modified by Mfuzz filter.std function

<dl><dt>eset</dt>
<dd>expression matrix, default NULL.</dd>
<dt>min.std</dt>
<dd>min stand error, default 0.</dd>
<dt>visu</dt>
<dd>whether plot, default FALSE.</dd>
<dt>verbose</dt>
<dd>show filter information.</dd></dl>

Arguments

using filter.std to filter low expression genes — filter.std modified by Mfuzz filter.std

<dl>

<dt>eset</dt>
<dd>expression matrix, default NULL.</dd>


<dt>min.std</dt>
<dd>min stand error, default 0.</dd>


<dt>visu</dt>
<dd>whether plot, default FALSE.</dd>


<dt>verbose</dt>
<dd>show filter information.</dd>

</dl>

filter.std modified by Mfuzz filter.std: using filter.std to filter low expression genes

Description

Usage

Value

Arguments