classify_mibcCPI: Single-sample classifier of CPI-response related classes
In csgroen/mibcCPIclass: Classification of MIBC samples according to CPI-response related classes
Description
Usage
Arguments
Value
Examples
View source: R/classify_mibcCPI.R
Description
Classifies RNA-seq from muscle-invasive bladder cancer samples normalized
with log2(FPKM+1) into one of 5 classes
proposed by Robertson et al (2021, doi: tba), related to response to
neoadjuvant treatment with checkpoint inhibitors (CPI).
Usage
1
2
3
4
classify_mibcCPI(
gexp,
gene_id = c("hgnc_symbol", "ensembl_gene_id", "entrezid")[1]
)
Arguments
gexp
gene expression matrix, normalized by log2(FPKM+1)
gene_id
type of gene identifier. One of: 'hgnc_symbol',
'ensembl_gene_id', 'entrezid'. Default: 'hgnc_symbol
Value
A data.frame with classification predictions and probabilities.
Examples
1
2
csgroen/mibcCPIclass documentation built on Dec. 19, 2021, 6:22 p.m.
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Description Usage Arguments Value Examples
View source: R/classify_mibcCPI.R
Description
Classifies RNA-seq from muscle-invasive bladder cancer samples normalized with log2(FPKM+1) into one of 5 classes proposed by Robertson et al (2021, doi: tba), related to response to neoadjuvant treatment with checkpoint inhibitors (CPI).
Usage
1 2 3 4 | classify_mibcCPI(
gexp,
gene_id = c("hgnc_symbol", "ensembl_gene_id", "entrezid")[1]
)
|
Arguments
gexp |
gene expression matrix, normalized by log2(FPKM+1) |
gene_id |
type of gene identifier. One of: 'hgnc_symbol', 'ensembl_gene_id', 'entrezid'. Default: 'hgnc_symbol |
Value
A data.frame with classification predictions and probabilities.
Examples
1 2 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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