curatedPCaDatasets_barbieri: Barbieri et al. MAE-object

curatedPCaDatasets_barbieriR Documentation

Barbieri et al. MAE-object

Description

MultiAssayExperiment object containing gene expression (gex), copy number alteration (cna), mutations (mut) and immune cell estimates for Barbieri et al.

Format

A MAE object spanning prostate adenocarcinomas from Barbieri et. al

cna.gistic

matrix with 20844 rows and 109 columns, from GISTIC discretized copy number alteration calls

gex.relz

matrix with 17917 rows and 31 columns, from z-score normalized expression in relative to paired normals.

mut

RaggedExperiment with 5737 rows and 112 columns, mutation data from cbioportal

cibersort

matrix with 22 rows and 31 columns, of cibersort based deconvolution data

xcell

matrix with 39 rows and 31 columns, of xcell based deconvolution data

epic

matrix with 8 rows and 31 columns, of epic based deconvolution data

quantiseq

matrix with 11 rows and 31 columns, of quantiseq based deconvolution data

estimate

data.frame with 4 rows and 31 columns, of cell types based on ESTIMATE method

scores

matrix with 4 rows and 31 columns, of risk scores and AR scores

mcp

matrix with 11 rows and 31 columns, of mcp-counter based deconvolution data

Details

The data comprises of primary localised prostate tumors from two cohorts, the Weill Cornell Medical College (WCMC; New York, NY), and the Uropath (Perth, Australia), which commercially provides banked urological tissues. None of the samples comes from patients who had received prior treatment for prostate cancer.

Value

A MultiAssayExperiment corresponding to the study and its available omics.

Source

https://www.cbioportal.org/study/summary?id=prad_broad

References

(PubMed)

Examples

mae_barbieri <- getPCa('barbieri')

Syksy/curatedPCaData documentation built on Oct. 11, 2024, 7:05 a.m.