ISARobustness(data, isaresult)
ISAFilterRobust(data, isaresult, ...)
ExpressionSet
or ISAExpressionSet
object. If an ExpressionSet
object is
supplied, then it is normalised by calling
ISANormalize
on it.ISAModules
object, a set of modules.isa.filter.robust
function in the isa2
package.ISARobustness
returns a numeric vector, the robustness scores
of the biclusters.ISAFilterRobust
returns the filtered ISAModules
instance.
ISARobustness
calculates robustness scores for ISA modules. The
higher the score, the more robust the module. ISAFilterRobust
filters a set of ISA modules, by running ISA
on the randomized expression data and then eliminating all modules
that have a robustness score that is lower than at least one
robustness score found in the randomized data.
The same feature and sample thresholds are used to calculate the randomized robustness scores. In other words the limit for the filtering depends on the feature and sample thresholds.
You can find more details in the manual of the
robustness
function in the isa2
package.
robustness
function in the isa2
package.
data(ALLModules)
library(ALL)
data(ALL)
rob <- ISARobustness(ALL, ALLModules)
summary(rob)
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