curatedPCaDatasets_true | R Documentation |
MultiAssayExperiment object containing gene expression (gex) and immune cell estimates from True et al.
An MAE object spanning 32 men with prostate cancer
matrix with 3615 rows and 32 columns, of gene expression data
matrix with 22 rows and 32 columns, of cibersort based deconvolution data
matrix with 8 rows and 32 columns, of epic based deconvolution data
matrix with 11 rows and 32 columns, of quantiseq based deconvolution data
matrix with 7 rows and 32 columns, of mcp-counter based deconvolution data
matrix with 2 rows and 32 columns, of risk scores and AR scores
data.frame with 4 rows and 32 columns, of cell types based on ESTIMATE method
The expression data for this dataset was produced by an older two colour chip that provides the relative expression levels for between tumor and normal. Due to the chip type, there was a lack of gene overlap with some of the downstream methods, thus some downstream methods are missing.
A MultiAssayExperiment corresponding to the study and its available omics.
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE5132
mae_true <- getPCa('true')
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