mountain_plot

The function `mountain_plot` is used to draw a graph to reflect the distribution of the data.

A systematic bioinformatics tool to perform single-sample mutation-based pathway analysis by integrating somatic mutation data with the Protein-Protein Interaction (PPI) network. In this method, we use local and global weighted strategies to evaluate the effects of network genes from mutations according to the network topology and then calculate the mutation-based pathway enrichment score (ssMutPES) to reflect the accumulated effect of mutations of each pathway. Subsequently, the ssMutPES profiles are used for unsupervised spectral clustering to identify cancer subtypes.

Junwei Han

ssMutPA

Single-Sample Mutation-Based Pathway Analysis

Yalan He

Qian Wang

mountain_plot function

<dl><dt>data</dt>
<dd>A pathway activity score matrix,which row names represent the pathways and the column names are samples.</dd>
<dt>sample_class</dt>
<dd>A vector containing subtype labels of the samples.</dd>
<dt>Path_name</dt>
<dd>The names of the pathways that you want to show in the graph.The 'Path_name' must be included in the row names of the data.</dd></dl>

Arguments

Plotting the density ridges plot. — mountain_plot

<dl>

<dt>data</dt>
<dd>A pathway activity score matrix,which row names represent the pathways and the column names are samples.</dd>


<dt>sample_class</dt>
<dd>A vector containing subtype labels of the samples.</dd>


<dt>Path_name</dt>
<dd>The names of the pathways that you want to show in the graph.The 'Path_name' must be included in the row names of the data.</dd>

</dl>

mountain_plot: Plotting the density ridges plot.

Description

Usage

Value

Arguments

Examples