xsScores {XDE} | R Documentation |
Alternative cross-study scores of differential expression
xsScores(statistic, N)
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 ) |
numeric
R. Scharpf
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
the GeneMeta package, ssStatistic
data(expressionSetList) t <- ssStatistic(statistic="t", phenotypeLabel="adenoVsquamous", esetList=expressionSetList) tScores <- xsScores(t, N=nSamples(expressionSetList))