gene_expression

Gene expression data extracted from TCGA using the `RTCGA` and
 `RTCGA.mRNA` R packages. It contains the mRNA expression for 3 genes -
 GATA3, PTEN and XBP1- from 3 different datasets: Breast invasive carcinoma
 (BRCA), Ovarian serous cystadenocarcinoma (OV) and Lung squamous cell
 carcinoma (LUSC)

The 'ggplot2' package is excellent and flexible for elegant data
visualization in R. However the default generated plots requires some formatting
before we can send them for publication. Furthermore, to customize a 'ggplot',
the syntax is opaque and this raises the level of difficulty for researchers
with no advanced R programming skills. 'ggpubr' provides some easy-to-use
functions for creating and customizing 'ggplot2'- based publication ready plots.

Alboukadel Kassambara

ggpubr

'ggplot2' Based Publication Ready Plots

gene_expression function

A data frame with 1305 rows and 5 columns.<dl>
 <dt><code>bcr_patient_barcode</code></dt>
<dd>sample ID</dd>
 <dt><code>dataset</code></dt>
<dd>cance type</dd>
 <dt><code>GATA3</code></dt>
<dd>GATA3 gene expression</dd> <dt><code>PTEN</code></dt>
<dd>PTEN gene expression</dd>
<dt><code>XBP1</code></dt>
<dd>XBP1 gene expression.</dd></dl>

Format

Gene Expression Data — gene_expression

A data frame with 1305 rows and 5 columns.<dl>
 <dt><code>bcr_patient_barcode</code></dt>
<dd>sample ID</dd>
 <dt><code>dataset</code></dt>
<dd>cance type</dd>
 <dt><code>GATA3</code></dt>
<dd>GATA3 gene expression</dd>

 <dt><code>PTEN</code></dt>
<dd>PTEN gene expression</dd>
<dt><code>XBP1</code></dt>
<dd>XBP1 gene expression.</dd>

</dl>

gene_expression: Gene Expression Data

Description

Usage

Arguments

Format

Examples