Description Usage Arguments Value Author(s) References

Deconvolves cell-specific expression using least-squares fit. Input is the heterogeneous sample gene expression of a group of samples and the matching cell-frequencies of the sample. The lower limit for the number of samples needed to deconvolving the cell-specific expression of N cell-types is N+1. For a single color array - the result could be interpreted as the average expression level of a given gene in a cell-type of that group. Multiplied by the frequency of a given cell-type in an individual in the group, it is the amount contributed by that cell type to the overall measured expression on the array.

1 |

`cc` |
Matrix of cell-frequency. (n by k, n samples, k cell-types) |

`G` |
Matrix of gene expression, columns ordered in the same order at the cell-frequency matrix (n by g, n samples, g genes) |

`logRm` |
Exponentiate data for deconvolution stage. Default is FALSE |

`logBase` |
Base of logarithm used to determine exponentiation factor. Default is 2 |

A list with three attributes:

`ghat` |
A matrix of cell-specific expression for each gene as derived from the coefficients of the fit. (Size: k by g, k cell types, gp genes) |

`se` |
Standard error of the fit coefficients |

`residuals` |
The individual sample residuals. |

`n` |
The number of samples used in the fit. |

Shai Shen-Orr, Rob Tibshirani, Narasimhan Balasubramanian, David Wang

Shen-Orr SS, Tibshirani R, Khatri P, Bodian DL, Staedtler F, Perry NM, Hastie T, Sarwal MM, Davis MM and Butte AJ (2010).
“Cell type-specific gene expression differences in complex tissues.” *Nature methods*, *7*(4), pp. 287-9. ISSN 1548-7105,
doi: 10.1038/nmeth.1439 (URL: http://doi.org/10.1038/nmeth.1439).

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.