deconvo_quantiseq: Deconvoluting micrornvironment using the quanTIseq technique
In IOBR/IOBR: Immune Oncology Biological Research

deconvo_quantiseq

R Documentation

Deconvoluting micrornvironment using the quanTIseq technique

Description

Deconvoluting micrornvironment using the quanTIseq technique

Usage

deconvo_quantiseq(eset, project = NULL, tumor, arrays, scale_mrna)

Arguments

`eset`	gene expression data
`project`	default is NULL, project name used to distinguish different data sets
`tumor`	logistic variable
`arrays`	logistic variable, is data generated from microarray
`scale_mrna`	logistic variable

Examples

#' # Loading TCGA-STAD expresion data(raw count matrix)
data(eset_stad, package = "IOBR")
eset <- count2tpm(countMat = eset_stad, source = "local", idType = "ensembl")
deconvo_quantiseq(eset = eset, project = "stad", tumor = TRUE, arrays = FALSE, scale_mrna = FALSE)

IOBR/IOBR documentation built on April 4, 2024, 1:07 a.m.