intrinsic.cluster {genefu} | R Documentation

## Function to fit a Single Sample Predictor (SSP) as in Perou, Sorlie, Hu, and Parker publications

### Description

This function fits the Single Sample Predictor (SSP) as published in Sorlie et al 2003, Hu et al 2006 and Parker et al 2009. This model is actually a nearest centroid classifier where the centroids representing the breast cancer molecular subtypes are identified through hierarchical clustering using an "intrinsic gene list".

### Usage

    intrinsic.cluster(data, annot, do.mapping = FALSE, mapping,
      std = c("none", "scale", "robust"), rescale.q = 0.05, intrinsicg,
      number.cluster = 3, mins = 5, method.cor = c("spearman", "pearson"),
      method.centroids = c("mean", "median", "tukey"), filen, 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.
`std` | Standardization of gene expressions: scale for traditional standardization based on mean and standard deviation, robust for standardization based on the 0.025 and 0.975 quantiles, none to keep gene expressions unchanged.
`rescale.q` | Proportion of expected outliers for (robust) rescaling the gene expressions.
`intrinsicg` | Intrinsic gene lists. May be specified by the user as a matrix wit hat least 2 columns named probe and EntrezGene.ID for the probe names and the corresponding Entrez Gene ids. The intrinsic gene lists published by Sorlie et al. 2003, Hu et al. 2006 and Parker et al. 2009 are stored in ssp2003, ssp2006 and pam50 respectively.
`number.cluster` | The number of main clusters to be identified by hierarchical clustering.
`mins` | The minimum number of samples to be in a main cluster.
`method.cor` | Correlation coefficient used to identified the nearest centroid. May be spearman or pearson.
`method.centroids` | LMethod to compute a centroid from gene expressions of a cluster of samples: mean, median or tukey (Tukey's Biweight Robust Mean).
`filen` | Name of the csv file where the subtype clustering model must be stored.
`verbose` | TRUE to print informative messages, FALSE otherwise.

### Value

A list with items:

- model:Single Sample Predictor

- subtype: Subtypes identified by the SSP. For published intrinsic gene lists, subtypes can be either "Basal", "Her2", "LumA", "LumB" or "Normal".

- subtype.proba: Probabilities to belong to each subtype estimated from the correlations to each centroid.

- cor: Correlation coefficient to each centroid.

### References

T. Sorlie and R. Tibshirani and J. Parker and T. Hastie and J. S. Marron and A. Nobel and S. Deng and H. Johnsen and R. Pesich and S. Geister and J. Demeter and C. Perou and P. E. Lonning and P. O. Brown and A. L. Borresen-Dale and D. Botstein (2003) "Repeated Observation of Breast Tumor Subtypes in Independent Gene Expression Data Sets", Proceedings of the National Academy of Sciences, 1(14):8418-8423 Hu, Zhiyuan and Fan, Cheng and Oh, Daniel and Marron, JS and He, Xiaping and Qaqish, Bahjat and Livasy, Chad and Carey, Lisa and Reynolds, Evangeline and ressler, Lynn and Nobel, Andrew and Parker, Joel and Ewend, Matthew and Sawyer, Lynda and Wu, Junyuan and Liu, Yudong and Nanda, Rita and Tretiakova, Maria and Orrico, Alejandra and Dreher, Donna and Palazzo, Juan and Perreard, Laurent and Nelson, Edward and Mone, Mary and Hansen, Heidi and Mullins, Michael and Quackenbush, John and Ellis, Matthew and Olopade, Olufunmilayo and Bernard, Philip and Perou, Charles (2006) "The molecular portraits of breast tumors are conserved across microarray platforms", BMC Genomics, 7(96) 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

### See Also

subtype.cluster, intrinsic.cluster.predict, ssp2003, ssp2006, pam50

### Examples

    # load SSP signature published in Sorlie et al. 2003
    data(ssp2003)
    # load NKI data
    data(nkis)
    # load VDX data
    data(vdxs)
    ssp2003.nkis <- intrinsic.cluster(data=data.nkis, annot=annot.nkis,
      do.mapping=TRUE, std="robust",
      intrinsicg=ssp2003$centroids.map[ ,c("probe", "EntrezGene.ID")],
      number.cluster=5, mins=5, method.cor="spearman",
      method.centroids="mean", verbose=TRUE)
    str(ssp2003.nkis, max.level=1)

[Package genefu version 2.26.0 Index]