tamr13 | R Documentation |
This function computes signature scores from gene expression values following the algorithm used for the Tamoxifen Resistance signature (TAMR13).
tamr13(data, annot, do.mapping = FALSE, mapping, verbose = FALSE)
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. |
A list with items:
score: Continuous signature scores.
risk: Binary risk classification, 1 being high risk and 0 being low risk (not implemented, the function will return NA values).
Loi S, Haibe-Kains B, Desmedt C, Wirapati P, Lallemand F, Tutt AM, Gillet C, Ellis P, Ryder K, Reid JF, Daidone MG, Pierotti MA, Berns EMJJ, Jansen MPHM, Foekens JA, Delorenzi M, Bontempi G, Piccart MJ and Sotiriou C (2008) "Predicting prognosis using molecular profiling in estrogen receptor- positive breast cancer treated with tamoxifen", BMC Genomics, 9(1):239
gene76
# load TAMR13 signature data(sig.tamr13) # load VDX dataset data(vdxs) # compute relapse score tamr13.vdxs <- tamr13(data=data.vdxs, annot=annot.vdxs, do.mapping=FALSE) summary(tamr13.vdxs$score)
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