aCGH.read.Sprocs {aCGH} | R Documentation |
This function reads in two-channel Array Complimentary Genomic
Habrydization Sproc files, flags them for bad quality and missing
data, and creates object of class aCGH
.
aCGH.read.Sprocs(fnames, latest.mapping.file = NULL, maxsd = 0.2, minreplic = 2, chrom.remove.threshold = 24, prop.missing = 0.25, sample.names = fnames, sample.quality.threshold = 0.4, cols = c("Log2Rat", "Log2StdDev", "NReplic", "Bad.P") )
fnames |
a vector of character strings containing the file names of each Sproc data file. |
latest.mapping.file |
The name of an optional file that contains newer clone mapping different from the clone mapping used at the time when the arrays were created. |
maxsd |
maximum of standard deviation of log2 ratios used in pre-filtering. |
minreplic |
minimum number of replicates per clone for a single chip used to calculate the log2 ratios. |
chrom.remove.threshold |
Chromosomes are ordered and numbered as usual, except for X and Y chromosome, which in for Homo sapiens genome have numbers 23 and 24 repsectivelly, in for Mus musculus 20 and 21, etc. |
prop.missing |
Clones are screened out and if the proportion
missing in the samples is prop.missing they are removed. |
sample.names |
Sample names. If they are missing, the file names are used after stripping the characters after the last dot in the filename if one exists; for example 'myfile.txt' becomes myfile. |
sample.quality.threshold |
Mark those samples that have their
proportion of missing values sample.quality.threshold . |
cols |
character vector of length 4 containing the following Sproc file column names: log2 ratios, std. deviations of the log2 ratios, number of replicates for each clone and flags for bad clones. Defaults to c("Log2Rat", "Log2StdDev", "NReplic", "Bad.P"). Note that all the whitespace characters in the column names will be replaced with dots. |
Object of class aCGH
.
Jane Fridlyand, Peter Dimitrov
aCGH
datadir <- system.file("examples", package = "aCGH") latest.mapping.file <- file.path(datadir, "human.clones.info.Jul03.csv") ex.acgh <- aCGH.read.Sprocs(system(paste("ls -1", file.path(datadir, "*.txt")), intern = TRUE), latest.mapping.file, chrom.remove.threshold = 23) ex.acgh ## Testing if creating the object went right. Should all be true all(log2.ratios(ex.acgh)[ 1, ] == c(-0.077698 , 0.007389)) clone.name <- "RP11-88I12" all(log2.ratios(ex.acgh)[ clone.name, ] == c(0.096387 , 0.050999))