Description Slots Methods Author(s) References
An object returned from a call to GetStabilityOverlap.
intersection
:A matrix of intersection counts, normalized such that 1 is the maximum attainable value. The rows
correspond to the positions in the list such that
row i
contains the number of common elements
of two lists up to position i
. The columns correspond to lists,
either obtained from altered datasets or by applying multiple
ranking procedures.
overlapscore
:A matrix of overlap scores, arranged analogously to intersection
.
noinformation
:A list containing two numeric vectors named "intersection"
and
"overlap score"
containing for each list position intersection counts and overlap scores
one would expect in the no-information case, corresponding to the random generation of
two mutually independent lists.
scheme
s. GetStabilityOverlap.
decay
The decay scheme used for the weights, s. GetStabilityOverlap.
Use show(object)
for brief information.
Use summary(object), measure = c("overlapscore", "intersection"), display = c("summary", "all"), position, digits = 3
for
condensed output. The argument measure
specifies the measure one is interested in. The argument display
controls whether only a five-point summary is printed (display = "summary"
) or whether all results
are printed (display = "all"
). The argument position
specifies the list position, e.g. if position = 10
, then
intersection counts/overlap scores up to position 10 are summarized. The argument digits
is used for number
formatting. Note that the output depends on scheme
.
plot(object, frac=1/50, mode = c("mean", "all", "specific"), which = 1, ...)
produces a graphical display
of the intersection count (upper panel) and the overlap score (lower panel) for increasing list position, ranging from 1
to
frac*number of genes
. The argument mode specifies whether this is done as average over all
lists (mode = "mean"
), for a certain alternative list which
(mode = "specific"
) or
succesively in the form of separate plots for each alternative list (mode = "all"
). The ...
argument may be used to modify
graphical options.
Martin Slawski
Anne-Laure Boulesteix
Qiu, X., Xiao, Y., Gordon, A., Yakovlev, A., (2006)
Assessing stability of gene selection in microarray data
analysis. BMC Bioinformatics 7, 50
Yang, X., Bentink, S., Scheid, S., Spang, R. (2006)
Similarities of ordered gene lists. Journal of Bioinformatics
and Computational Biology 4, 693-708
Lottaz, C., Yang, X., Scheid, S., Spang, R. (2006)
OrderedList - a Bioconductor package for detecting
similarity in ordered gene lists.
Bioinformatics, 22, 2315-2316
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