Description Usage Arguments Details Value Author(s)
iterTiMExBinaryMats
performs TiMEx iteratively on any
binary dataset, by each time removing the most significant group of largest
size and runnning TiMEx again.
1 | iterTiMExBinaryMats(mat, pairMu, pairPvalue, groupPvalue, corr, noRuns)
|
mat |
binary input matrix, with rows representing samples and columns representing genes |
pairMu |
threshold on the pair-level mu (input to the function
|
pairPvalue |
threshold on the pair-level pvalue (input to the
function |
groupPvalue |
threshold on the group-level pvalue (input to the
function |
corr |
type of correction employed by TiMEx. It has to either be "bonf" or "fdr". Default to "bonf". |
noRuns |
maximum number of times to run the iterative procedure. Default to 10. |
This function reports the most significant mutually exclusive groups of largest size inferred iteratively, on the basis of any binary input matrix. Once a group is reported, it is removed from the dataset and TiMEx is ran again. The groups are reported decreasingly by size.
list consisting of
geneNames
list consisting of the names of the genes part
of the identified mutually exclusive groups. each element is a vector of
gene names corresponding to one group.
geneIndices
list consisting of the indices in the input
binary matrix of the genes part of the identified mutually exclusive
groups. each element is a vector of gene indices corresponding to one
group.
mat
input binary matrix
samplesModel
input structure containing the simulated
pathTiMEx model, including the binary matrix used as input to the function
TiMEx
.
muEst
vector with the estimated mu for the identified
mutually exclusive groups, of length the number of groups identified.
corr
the input method for multiple testing correction used
by TiMEx.
Simona Constantinescu, simona.constantinescu@bsse.ethz.ch
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