maSelectGnames {marray} | R Documentation

## Select genes according to the values of a few different statistics

### Description

Select genes by considering the `union` or `intersect` of multiple statistics.

### Usage

    maSelectGnames(statdata, crit1 = 50, crit2 = crit1, sub = TRUE, selectstat, operate = c("intersect", "union"))

### Arguments

`statdata` | A numerical matrix where the rows corresponds to genes and the columns corresponds to various statistics corresponding to a particular gene.
`crit1` | The number of points to be selected. If crit1 < 1, the crit1*100% spots with the smallest M values will be selected. If crit1 >= 1, the crit spots with the smallest M values are selected.
`crit2` | Similar to "crit1". If crit2 < 1, the crit2*100% spots with the largest M values will be selected. If crit2 >= 1, the crit2 spots with the largest M values are selected.
`sub` | A "logical" or "numeric" vector indicating the subset of genes to be consider.
`selectstat` | A integer value indicating the statistics where the final ranking is based on.
`operate` | The operation used to combined different rankings

### Details

This functions calls `stat.gnames` to select say the 100 most extreme genes from various statistics and combined the different gene lists by either union or intersection.

### Value

A vector of numeric values.

### Author(s)

Jean Yee Hwa Yang

### See Also

`stat.gnames`, `order`

### Examples

    X <- matrix(rnorm(1000), 100,10)
    Xstat <- cbind(mean=apply(X, 1, mean, na.rm=TRUE),
                   var=apply(X, 1, var, na.rm=TRUE))
    maSelectGnames(Xstat, crit1=50)

[Package marray version 1.64.0 Index]