xsScores {XDE} | R Documentation

## Alternative cross-study scores of differential expression

### Description

Alternative cross-study scores of differential expression

### Usage

    xsScores(statistic, N)

### Arguments

`statistic` | a matrix of study-specific estimates of effect size. Rows are genes and columns are studies.
`N` | numerical vector: the number of samples in each study (the length should be the number of columns in `statistic`)

### Value

A matrix of cross-study scores for differential expression ("diffExpressed"), concordant differential expression, and discordant differential expression.

### Author(s)

R. Scharpf

### References

J.K. Choi, U. Yu, S. Kim, and O.J. Yoo (2003), Combining multiple microarray studies and modeling interstudy variation, Bioinformatics, 19(1) I84-I90.

E. Garrett-Mayer, G. Parmigiani, X. Zhong, L. Cope, and E. Gabrielson (2007), Cross-study validation and combined analysis of gene expression microarray data, Biostatistics, September

R. Scharpf et al., A Bayesian Model for Cross-Study Differential Gene Expression, Technical Report 158, Johns Hopkins University, Department of Biostatistics, 2007

### See Also

the GeneMeta package, `ssStatistic`

### Examples

      data(expressionSetList)
      t <- ssStatistic(statistic="t", phenotypeLabel="adenoVsquamous", esetList=expressionSetList)
      tScores <- xsScores(t, N=nSamples(expressionSetList))

[Package XDE version 2.26.0 Index]