rorS: Function to compute the rorS signature as published by Parker...

Description Usage Arguments Value Author(s) References Examples


This function computes signature scores and risk classifications from gene expression values following the algorithm used for the rorS signature as published by Parker et al 2009.


rorS(data, annot, do.mapping = FALSE, mapping, verbose = FALSE)



Matrix of gene expressions with samples in rows and probes in columns, dimnames being properly defined.


Matrix of annotations with at least one column named "EntrezGene.ID", dimnames being properly defined.


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. Note that for Affymetrix HGU datasets, the mapping is not necessary.


Matrix with columns "EntrezGene.ID" and "probe" used to force the mapping such that the probes are not selected based on their variance.


TRUE to print informative messages, FALSE otherwise.



Continuous signature scores


Binary risk classification, 1 being high risk and 0 being low risk.


Mapping used if necessary.


If mapping is performed, this matrix contains the correspondence between the gene list (aka signature) and gene expression data.


Benjamin Haibe-Kains


Parker, Joel S. and Mullins, Michael and Cheang, Maggie C.U. and Leung, Samuel and Voduc, David and Vickery, Tammi and Davies, Sherri and Fauron, Christiane and He, Xiaping and Hu, Zhiyuan and Quackenbush, John F. and Stijleman, Inge J. and Palazzo, Juan and Marron, J.S. and Nobel, Andrew B. and Mardis, Elaine and Nielsen, Torsten O. and Ellis, Matthew J. and Perou, Charles M. and Bernard, Philip S. (2009) "Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes", Journal of Clinical Oncology, 27(8):1160–1167


## load NKI dataset
## compute relapse score
rs.vdxs <- rorS(data=data.vdxs, annot=annot.vdxs, do.mapping=TRUE)

Example output

Loading required package: survcomp
Loading required package: survival
Loading required package: prodlim
Loading required package: mclust
Package 'mclust' version 5.4.3
Type 'citation("mclust")' for citing this R package in publications.
Loading required package: limma
Loading required package: biomaRt
Loading required package: iC10
Loading required package: pamr
Loading required package: cluster
Loading required package: impute
Loading required package: iC10TrainingData
Loading required package: AIMS
Loading required package: e1071
Loading required package: Biobase
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following object is masked from 'package:limma':


The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,, basename, cbind, colMeans, colSums, colnames,
    dirname,, duplicated, eval, evalq, get, grep, grepl,
    intersect, is.unsorted, lapply, lengths, mapply, match, mget,
    order, paste, pmax,, pmin,, rank, rbind,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min

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genefu documentation built on Jan. 28, 2021, 2:01 a.m.