processCGH: Process data in an MAList
In snapCGH: Segmentation, normalisation and processing of aCGH data

Description Usage Arguments Value Author(s) See Also

This function takes object of class MAList and it re-orders and filters clones based on their mapping information and proportion missing. It also average duplicated clones and imputes missing values for clones that are still NA after the filtering step. Note that imputation will only take place if duplicated clones are removed.

1 2	processCGH(input, maxChromThreshold = 22, minChromThreshold = 1, method.of.averaging = NULL, ID = "ID", prop.missing = 0.1)

`input`	Object of class `MAList` or `RGList`
`maxChromThreshold`	Chromosomes are ordered and numbered as usual, except for X and Y chromosome, which in for Homo sapiens genome have numbers 23 and 24 respectively, in for Mus musculus 20 and 21, etc. Remove chromosomes from segmentation analysis which are greater than this value.
`minChromThreshold`	Chromosomes are ordered and numbered as usual, except for X and Y chromosome, which in for Homo sapiens genome have numbers 23 and 24 respectively, in for Mus musculus 20 and 21, etc. Remove chromosomes from segmentation analysis which are lower than this value.
`method.of.averaging`	If left as the default no combining of replicate spots takes place. Otherwise this should specify a function which takes a vector of duplicates and combines them into a single value.
`ID`	Name of column in `RG\$genes` corresponding to the clone names. For most data the default will work, however for affy data the value for ID should be `"CloneName"`
`prop.missing`	For each probe the proportion of NA's is calculated, and the probe is kept for further analysis if the proportion of NA's is less than missing.prop