risk_plot

The Gene Expression Omnibus (<https://www.ncbi.nlm.nih.gov/geo/>) and The Cancer Genome Atlas (<https://portal.gdc.cancer.gov/>) are widely used medical public databases. Our platform integrates routine analysis and visualization tools for expression data to provide concise and intuitive data analysis and presentation.

Xiaojie Sun

tinyarray

Expression Data Analysis and Visualization

risk_plot function

<dl><dt>exprSet_hub</dt>
<dd>a tumor expression set for hubgenes</dd>
<dt>meta</dt>
<dd>meta data corresponds to expression set</dd>
<dt>riskscore</dt>
<dd>a numeric vector of riskscore</dd>
<dt>cut.point</dt>
<dd>logical , use cut_point or not, if FALSE,use median by defult</dd>
<dt>color</dt>
<dd>color for boxplot</dd>
<dt>n_cutoff</dt>
<dd>3 by defalut , scale before plot and set a cutoff,usually 2 or 1.6</dd></dl>

Arguments

Author

risk_plot — risk_plot

<dl>

<dt>exprSet_hub</dt>
<dd>a tumor expression set for hubgenes</dd>


<dt>meta</dt>
<dd>meta data corresponds to expression set</dd>


<dt>riskscore</dt>
<dd>a numeric vector of riskscore</dd>


<dt>cut.point</dt>
<dd>logical , use cut_point or not, if FALSE,use median by defult</dd>


<dt>color</dt>
<dd>color for boxplot</dd>


<dt>n_cutoff</dt>
<dd>3 by defalut , scale before plot and set a cutoff,usually 2 or 1.6</dd>

</dl>

risk_plot: risk_plot

Description

Usage

Value

Arguments

Author

See Also

Examples