A numerical matrix containing gene expression matrix
for 70 genes and 78 breast cancer patients (training set data)
from the Glas et al cohort
matTraining matrix contains normalized
expression values for the 70 gene signature (rows)
across 78 samples (columns).
Group information (emph“bad” versus “good” prognosis)
is shown in
This dataset corresponds to the breast cancer patients' cohort
published by Glas and colleagues in BMC Genomics (2006).
The gene expression matrix was obtained from
mammaPrintData package as described
by Marchionni and colleagues in BMC Genomics (2013).
See switchBox for the references.
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### Load gene expression data for the training set data(trainingData) ### Show the class of the ``matTraining'' object class(matTraining) ### Show the dimentions of the ``matTraining'' matrix dim(matTraining) ### Show the first 10 sample names of the ``matTraining'' matrix head(colnames(matTraining), n=10)
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