ovcAngiogenic: Function to compute the subtype scores and risk...
In genefu: Computation of Gene Expression-Based Signatures in Breast Cancer

Description Usage Arguments Value Author(s) References See Also Examples

This function computes subtype scores and risk classifications from gene expression values following the algorithm developed by Bentink, Haibe-Kains et al. to identify the angiogenic molecular subtype in ovarian cancer.

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ovcAngiogenic(data, annot, hgs, 
gmap = c("entrezgene", "ensembl_gene_id", "hgnc_symbol", "unigene"), 
do.mapping = FALSE, verbose = FALSE)

`data`	Matrix of gene expressions with samples in rows and probes in columns, dimnames being properly defined.
`annot`	Matrix of annotations with one column named as gmap, dimnames being properly defined.
`hgs`	vector of booleans with TRUE represents the ovarian cancer patients who have a high grade, late stage, serous tumor, FALSE otherwise. This is particularly important for properly rescaling the data. If `hgs` is missing, all the patients will be used to rescale the subtype score.
`gmap`	character string containing the `biomaRt` attribute to use for mapping if `do.mapping=TRUE`
`do.mapping`	`TRUE` if the mapping through Entrez Gene ids must be performed (in case of ambiguities, the most variant probe is kept for each gene), `FALSE` otherwise.
`verbose`	`TRUE` to print informative messages, `FALSE` otherwise.

`score`	Continuous signature scores
`risk`	Binary risk classification, `1` being high risk and `0` being low risk.
`mapping`	Mapping used if necessary.
`probe`	If mapping is performed, this matrix contains the correspondence between the gene list (aka signature) and gene expression data.
`subtype`	data frame reporting the subtype score, maximum likelihood classification and corresponding subtype probabilities

Benjamin Haibe-Kains

Bentink S, Haibe-Kains B, Risch T, Fan J-B, Hirsch MS, Holton K, Rubio R, April C, Chen J, Wickham-Garcia E, Liu J, Culhane AC, Drapkin R, Quackenbush JF, Matulonis UA (2012) "Angiogenic mRNA and microRNA Gene Expression Signature Predicts a Novel Subtype of Serous Ovarian Cancer", PloS one, 7(2):e30269

sigOvcAngiogenic

## load the ovcAngiogenic signature
data(sigOvcAngiogenic)
## load NKI dataset
data(nkis)
colnames(annot.nkis)[is.element(colnames(annot.nkis), "EntrezGene.ID")] <- "entrezgene"
## compute relapse score
ovcAngiogenic.nkis <- ovcAngiogenic(data=data.nkis, annot=annot.nkis, 
gmap="entrezgene", do.mapping=TRUE)
table(ovcAngiogenic.nkis$risk)