preprocess {CGHcall} | R Documentation |
This function preprocesses your aCGH data so it can be processed by other functions without errors.
preprocess(input, maxmiss = 30, nchrom = 22, ...)
input |
Object of class cghRaw . |
maxmiss |
Maximum percentage of missing values per row. |
nchrom |
Number of chromosomes. |
... |
Arguments for impute.knn from the impute package. |
This function performs the following actions on arrayCGH data:
impute.knn
function from the impute package.
This function returns a dataframe in the same format as the input with missing values imputed.
Sjoerd Vosse & Mark van de Wiel
Olga Troyanskaya, Michael Cantor, Gavin Sherlock, Pat Brown, Trevor Hastie, Robert Tibshirani, David Botstein, and Russ B. Altman (2001). Missing value estimation methods for DNA microarrays. Bioinformatics, 17, 520-525.
data(WiltingRaw) preprocessed <- preprocess(WiltingRaw)