intrinsic.cluster.predict {genefu} | R Documentation

## Function to identify breast cancer molecular subtypes using the Single Sample Predictor (SSP)

### Description

This function identifies the breast cancer molecular subtypes using a Single Sample Predictor (SSP) fitted by intrinsic.cluster.

### Usage

    intrinsic.cluster.predict(sbt.model, data, annot, do.mapping = FALSE,
      mapping, do.prediction.strength = FALSE, verbose = FALSE)

### Arguments

`sbt.model` | Subtype Clustering Model as returned by intrinsic.cluster.
`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
`do.prediction.strength` | TRUE if the prediction strength must be computed (Tibshirani and Walther 2005), FALSE otherwise.
`verbose` | TRUE to print informative messages, FALSE otherwise.

### Value

A list with items:

- 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.

- prediction.strength: Prediction strength for subtypes.

- subtype.train: Classification (similar to subtypes) computed during fitting of the model for prediction strength.

- centroids.map: Mapped probes from the intrinsic gene list used to compute the centroids.

- profiles: Intrinsic gene expression profiles for each sample.

### 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 Dressler, 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 Tibshirani R and Walther G (2005) "Cluster Validation by Prediction Strength", Journal of Computational and Graphical Statistics, 14(3):511–528

### See Also

intrinsic.cluster, ssp2003, ssp2006, pam50

### Examples

    # load SSP fitted in Sorlie et al. 2003
    data(ssp2003)
    # load NKI data
    data(nkis)
    # SSP2003 applied on NKI
    ssp2003.nkis <- intrinsic.cluster.predict(sbt.model=ssp2003,
      data=data.nkis, annot=annot.nkis, do.mapping=TRUE,
      do.prediction.strength=FALSE, verbose=TRUE)
    table(ssp2003.nkis$subtype)

[Package genefu version 2.26.0 Index]