Description Usage Arguments Details Value Author(s) References See Also Examples
subsampleAnalysis
subsamples the set of patients and
assess the stability of the identified mutually exclusive groups.
1 | subsampleAnalysis(subsampl, noReps, signifGroups)
|
subsampl |
a vector with subsampling frequencies |
noReps |
number of repetitions of subsampling. Default is 100. |
signifGroups |
result structure with the significant groups, as
returned by either |
As this function runs TiMEx many times sequentially, it is computationally very intensive. For a version of this function which can be directly ran on a cluster, please contact me (see e-mail below).
For example, after loading data(ovarianOutput)
and running
counts<-subsampleAnalysis(subsampl=c(0.3,0.5,0.8),
signifGroups=signifGroups)
counts[[1]][[3]]
will represent
the relative counts of the identified mutually exclusive groups of size 3
for a subsampling frequency of 30%, for both fdr
and bonf
(bonferroni) multiple correction methods.
list with as many elements as subsampling frequencies provided. Each
element is further a list with as many elemenets as number of sizes of the
significantly mutually exclusive groups identified. Aditionally, bonf
and fdr
are two lists corresponding to each of these elements,
representing different multiple correction methods. Finally, each element
is a vector of subsampling frequencies of the significantly mutually
exclusive groups identified. For an example, see Details above.
Simona Cristea, scristea@jimmy.harvard.edu
Constantinescu et al.: TiMEx: A Waiting Time Model for Mutually Exclusive Cancer Alterations. Bioinformatics (2015).
the wrapper function TiMEx
for identifying mutually
exclusive groups in a binary dataset with the TiMEx model,
ovarianSubsampling
,
breastSubsampling
,
gbmDendrixSubsampling
, and
gbmMuexSubsampling
for examples of outputs after
performing the subsampling analysis.
1 2 3 | # running this function is time-intensive
data(ovarianOutput)
## Not run: subsampleOvarian<-subsampleAnalysis(c(0.3,0.5,0.8),ovarianOutput)
|
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