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pancor

Installation

devtools::install_github("xuzhougeng/pancor")
library(pancor)

Usage:

test dasta

data("pancancer_small")
df <- pancor(pancancer_small, "METTL3", "SETD2")
ggpancor(df)
ggcorplot(pancancer_small, "METTL3","SETD2", cor.test.method = "pearson")

If you want to use the full data, you need download our preprocessed Rdata with getExprSet

getExprSet("pancancer_mRNA_exprSet.Rdata")

Then load this data to environment

load("pancancer_mRNA_exprSet.Rdata")

The following analysis is same as previous

df <- pancor(mRNA_exprSet, "METTL3", "SETD2")
ggpancor(df)

ggcorplot(mRNA_exprSet, "METTL3","SETD2", cor.test.method = "pearson")

Reference

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Version

Install

install.packages('pancor')

Monthly Downloads

2

Version

0.1.0

License

Artistic-2.0

Maintainer

Zhougeng Xu

Last Published

October 16th, 2019

Functions in pancor (0.1.0)

panCCLE_small

CCLE preprocessed data for correlationship analysis
pancancer_small

TCGA preprocessed data for correlationship analysis
ggpancor

pancor result plot
ggcorplot

correlationship between two gene in single or all cancer
panGTEX_small

GTEx preprocessed data for correlationship analysis
getExprSet

download exprSet data
pancor

caculate the correlatship ratio in pancancer