comp.B {DEDS} | R Documentation

## Computing B-statistics for Differential Expression

### Description

`comp.B` returns a function of one argument with bindings for `L` and `proportion`. This function accepts a microarray data matrix as its single argment, when evaluated, computes lod-odds of differential expression by emprical Bayes shrinkage of the standard error toward a common value. The lod-odds are sometimes called B statistics.

### Usage

    comp.B(L = NULL, proportion = 0.01)

### Arguments

`L` | A vector of integers corresponding to observation (column) class labels. For k classes, the labels must be integers between 0 and k-1.
`proportion` | A numeric variable specifying the proportion of differential expression.

### Details

The function returned by `comp.B` calculates B statistics for each row of the microarray data matrix, with bindings for `L` and `proportion`. It interfaces to a C function. `comp.stat` is another function that wrapps around the same C function that could be used for computing B statistics (see examples below).

### Value

`comp.B` returns a function (F) with the bindings for `L` and `proportion` . The function F when supplied with a microarray data matrix and evaluated will return a numeric vector of B statistics for each row of the matrix.

### Author(s)

Yuanyuan Xiao, yxiao@itsa.ucsf.edu,
Jean Yee Hwa Yang, jeany@maths.usyd.edu.au.

### References

Lonnstedt, I. and Speed, T. P. (2002). Replicated microarray data. Statistica Sinica 12, 31-46.

Smyth, G. K. (2003). Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. http://www.statsci.org/smyth/pubs/ebayes.pdf

### See Also

`comp.modt`,`comp.stat`.

### Examples

    X <- matrix(rnorm(1000,0,0.5), nc=10)
    L <- rep(0:1,c(5,5))

    # genes 1-10 are differentially expressed
    X[1:10,6:10]<-X[1:10,6:10]+1

    # compute B statistics, proportion set as 0.01
    B.fun <- comp.B(L)
    B.X <- B.fun(X)

    # compute B statistics, proportion set as 0.1
    B.fun <- comp.B(L, proportion=0.1)
    B.X <- B.fun(X)

    # Another way of computing B statistics
    B.X<- comp.stat(X, L, "B")

[Package DEDS version 1.18.0 Index]