clinical.info | R Documentation |
This data set provides experimental and clinical information about the (partial) prostate cancer data set included for demonstration purposes as part of the tail.rank.test package. The experiments were two-color glass microarrays printed at Stanford.
data(clinical.info)
A data frame with 112 observations on the following 6 variables.
A factor containing the barcode of the microarray on which the experiment was performed. Each of the 112 entries should be distinct.
A factor describing the reference sample used in each experiment. This was a common reference, so the identifiers here are not meaningful.
A factor identifying the test sample in each experiment. These match the codes published in the original paper.
A factor with three levels identifying normal prostate
(N
), prostate cancer (T
), or lymph node metastasis
(L
).
A factor with five levels: I
II
III
N
O
. These correspond to the groups found
in the original paper using clustering.
a factor with levels new
or old
. At
least two different print designs of microarrays were used in this
experiment; this factor identifies the design.
The data was originally described in the paper by Lapointe et al., and downloaded from the Stanford Microarray Database https://bio.tools/stanfordmicroarraydb.
Lapointe J et al. (2004) Gene expression profiling identifies clinically relevant subtypes of prostate cancer. Proc Natl Acad Sci U S A, 101, 811–816.
expression.data
,
gene.info
data(clinical.info)
summary(clinical.info)
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