computeSD.func {aCGH}R Documentation

Function to estimate experimental variability of a sample


This functions estimate experimental variability of a given sample. This value can be used to rank samples in terms of the quality as well as to derive thresholds for declaring gained and lost clones.


computeSD.Samples(aCGH.obj, maxChrom = 22, maxmadUse = .3,
                  maxmedUse = .5, maxState = 3, minClone = 20)
computeSD.func(statesres = states.bic, maxmadUse = 0.2, maxmedUse = 0.2,
               maxState = 3, maxStateChange = 10, minClone = 20,
               maxChrom = 22)


aCGH.obj Object of class aCGH.
statesres The states.hmm object, generally is the output of mergeFunc.
maxmadUse Maximum median absolute deviation allowed to controbute to the overall variability calculation.
maxmedUse Maximum median value for a state allowed to contribute to the calculation.
maxState Maximum number of the states on a given chromosome for the states from that chromosome to be allowed to enter noise variability calculation.
maxStateChange Maximum number of changes from state to state on a given chromosome for that chromosome to enter noise variability calculation.
minClone Minimum number of clones in a state for clones in that sate to enter variability calculation.
maxChrom Maxiumum chromosomal index (generally only autosomes are used for this calculation.


Median absolute deviation is estimated in all the states passing the criteria defined by the parameters of the function. Then median of all MADs on individual chromosomes as well as across all chromosomes is taken to estimate chromosomal experimental variability and sample experimental variability.


madChrom Returns a matrix containing estimated variability for each chromosome for each sample.
madGenome Returns a vector with estimate of experimental varibility for each sample.


Jane Fridlyand


Application of Hidden Markov Models to the analysis of the array CGH data, Fridlyand, JMVA, 2004

See Also


[Package aCGH version 1.1.4 Index]