Description Usage Arguments Details Value Author(s) Examples
This function is designed to parse a design and contrasts matrix in order to generate Glimma's interactive MA-plots for all contrasts. The heading for the resulting plot is based on the colnames of the contrasts matrix, so it is important to include the colnames and make them explanatory.
1 2 3 4 5 6 7 8 9 10 11 12 |
tablst |
An MArrayLM object or list of DGEExact or DGELRT objects |
datobj |
A DGEList, ExpressionSet, EList or matrix |
dsgn |
A design matrix |
cont |
A contrast matrix |
grpvec |
A vector of groups, usually what was used to make the design matrix |
padj |
Method for multiplicity adjustment. BH by default |
sigfilt |
Significance cutoff for selecting genes |
extraname |
Used to add a sub-directory to the glimma-plots directory, mainly used to disambiguate contrasts with the same name (see below). |
ID |
Character, default is NULL. The column name of the genes list item (from the MArrayLM, DGEExact or DGELRT objects) that will be used for labeling the individual gene expression plot at the top right of the resulting plot. The default of NULL will search for a column labeled SYMBOL to use. If the ID value doesn't match any column, and there is no SYMBOL column, then the default for glMDPlot will be used. |
... |
Allows end users to pass other arguments to the Glimma glMDPlot function |
In addition, if there are multiple contrasts with the same name, say if the same comparisons are being made for different tissue types, the extraname argument will cause the output to be placed in glimma-plots/<extraname>, to eliminate over-writing of existing files.
A character vector of the files generated, useful for using as links to the output.
James W. MacDonald jmacdon@u.washington.edu
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## Not run:
mat <- matrix(rnorm(1e6), ncol = 20)
grps <- factor(1:4, each=5)
design <- model.matrix(~0 + grps)
colnames(design) <- LETTERS[1:4]
contrast <- matrix(c(1,-1,0,0,1,0,-1,0,1,0,0,-1,0,1,-1,0,0,1,0,-1),
ncol = 5)
colnames(contrast) <- paste(LETTERS[c(1,1,1,2,2)],
LETTERS[c(2,3,4,3,4)], sep = " vs ")
fit <- lmFit(mat, design)
fit2 <- contrasts.fit(fit, contrast)
fit2 <- eBayes(fit2)
htmllinks <- doGlimma(fit2, mat, design, contrast, grps)
## End(Not run)
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