mergeFunc
From aCGH v1.50.0
by Peter Dimitrov
Funtion to merge states based on their state means
mergeFunc
takes the output of hmm.run.func (or find.hmm.states)
with a particular model selection criterion and iteratively merges the
states with means closer than a supplied threshold.
mergeHmmStates
is a frontend for mergeFunc
using
aCGH
object.
- Keywords
- models
Usage
mergeHmmStates(aCGH.obj, model.use = 1, minDiff = 0.25)
mergeFunc(statesres, minDiff = 0.1)
Arguments
- aCGH.obj
-
Object of class
aCGH
. - statesres
- the sublist of the states.hmm list output from
find.hmm.states
for a given model selection crterion - minDiff
- The states whose predicted values are less than minDiff apart are merged into one state and all the predicited values are recomputed.
- model.use
-
Model selection criterion to use, See
find.hmm.states
.
Details
This function is intended to reduce effect of the possible small magnitude technological artifacts on the structure determination.
Value
-
List containing states.hmm object is returned.
References
Application of Hidden Markov Models to the analysis of the array CGH data, Fridlyand et.al., JMVA, 2004
See Also
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