pik3cags: Function to compute the PIK3CA gene signature (PIK3CA-GS)

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

Description

This function computes signature scores from gene expression values following the algorithm used for the PIK3CA gene signature (PIK3CA-GS).

Usage

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pik3cags(data, annot, do.mapping = FALSE, mapping, verbose = FALSE)

Arguments

data

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

annot

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

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.

mapping

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

verbose

TRUE to print informative messages, FALSE otherwise.

Value

Vector of signature scores for PIK3CA-GS

Author(s)

Benjamin Haibe-Kains

References

Loi S, Haibe-Kains B, Majjaj S, Lallemand F, Durbecq V, Larsimont D, Gonzalez-Angulo AM, Pusztai L, Symmans FW, Bardelli A, Ellis P, Tutt AN, Gillett CE, Hennessy BT., Mills GB, Phillips WA, Piccart MJ, Speed TP, McArthur GA, Sotiriou C (2010) "PIK3CA mutations associated with gene signature of low mTORC1 signaling and better outcomes in estrogen receptor-positive breast cancer", Proceedings of the National Academy of Sciences, 107(22):10208–10213

See Also

gene76

Examples

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## load GGI signature
data(sig.pik3cags)
## load NKI dataset
data(nkis)
## compute relapse score
pik3cags.nkis <- pik3cags(data=data.nkis, annot=annot.nkis, do.mapping=TRUE)
head(pik3cags.nkis)

Example output

Loading required package: survcomp
Loading required package: survival
Loading required package: prodlim
Loading required package: mclust
Package 'mclust' version 5.3
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: 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':

    plotMA

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,
    as.data.frame, cbind, colMeans, colSums, colnames, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, lengths, mapply, match, mget, order, paste, pmax, pmax.int,
    pmin, pmin.int, rank, rbind, rowMeans, rowSums, rownames, sapply,
    setdiff, sort, table, tapply, union, unique, unsplit, which,
    which.max, which.min

Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

     NKI_123      NKI_327      NKI_291      NKI_370      NKI_178      NKI_176 
 0.064270270 -0.008135135 -0.050189189  0.101432432 -0.008810811 -0.118432432 

genefu documentation built on May 2, 2018, 2:10 a.m.