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gcrma
Return
Values
Description
ExpressionMatrix
Matrix of log2 expression values where each
row corresponds to a gene (probe set) and each
column corresponds to an Affymetrix CEL file,
which represents a single chip.
ExpressionMatrix = gcrma(PMMatrix, MMMatrix, ProbeIndices,
AffinPM, AffinMM) performs GCRMA background adjustment,
quantile normalization , and median-polish summarization on
Affymetrix microarray probe-level data using probe affinity data.
ExpressionMatrix is a matrix of log2 expression values where each row
corresponds to a gene (probe set) and each column corresponds to an
Affymetrix CEL file, which represents a single chip.
Note There is no column in ExpressionMatrix that contains probe set
or gene information.
ExpressionMatrix = gcrma(PMMatrix, MMMatrix, ProbeIndices,
SequenceMatrix) performs GCRMA background adjustment, quantile
normalization, and Robust Multi-array Average (RMA) summarization
on Affymetrix microarray probe-level data using probe sequence data
to compute probe affinity data. ExpressionMatrix is a matrix of log2
expression values where each row corresponds to a gene (probe set) and
each column corresponds to an Affymetrix CEL file, which represents a
single chip.
Note If AffinPM and AffinMM affinity data and SequenceMatrix
sequence data are not available, you can still use the gcrma function by
entering an empty matrix for these inputs in the syntax.
ExpressionMatrix = gcrma( ...'PropertyName', PropertyValue,
...) calls gcrma with optional properties that use property
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