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NChannelSet
class.
Data are from experiments where the same set of reagents (probes) where used.
The class can represent data from multi-channel assays.The data can be thought of as being organised in a two- or three-dimensional array as follows:
cellHTS
object
keeps track of plate ID, row, and column associated with each element.
For historic reasons, and because we are using infrastructure that
was developed for microarray experiments, the following terms are
used synonymously for the elements of the first dimension: reagents,
features, probes, genes.phenoData
.
This is because we are using infrastructure
(theNChannelSet
class) that
uses this unfortunate term for this purpose. The software provides
methodology for replicate summarization and scoring, however more
complicated experimental designs are not directly
supported. Multi-purpose tools likelmFit
in thelimma
package should be consulted.new("cellHTS",
assayData, phenoData, ...)
. See the examples below.NChannelSet
, directly.NChannelSet
readPlateList
annotate
configure
writeTab
state
Data
normalizePlates
ROC
showClass("cellHTS")
showMethods(class="cellHTS")
## An empty cellHTS
obj <- new("cellHTS")
data("KcViabSmall")
KcViabSmall
state(KcViabSmall)
## Replicate 1 as a cellHTS object
y <- KcViabSmall[,1]
compare2cellHTS(KcViabSmall, y)
data("KcViab")
compare2cellHTS(KcViab, KcViabSmall)
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