Survival Analysis
tests
association
of each row of the input data set with a censored response. It fits a
Cox proportional hazards
model
on a row-by-row basis. The input data are assumed to be normalized. The experimental design data set must contain a time-to-event
variable
, and can contain a
censor variable
that indicates whether the time-to-event variable is censored.
The second data set is the
Experimental Design Data Set (EDDS)
. This required data set tells how the experiment was performed, providing information about the columns in the input data set. Note that one column in the EDDS must be named
ColumnName
and the values contained in this column must exactly match the column names in the input data set. Two other columns in this data set,
Array
, and
Experiment
, correspond to an
index variable
and the one-way experimental variable, respectively.
An
Annotation Data Set
can also be specified. This data set contains information, such as gene identity,
accession numbers
, chromosomal location, and so on, for each of the rows in the input data set. This data set is also in the
tall
format; where each row corresponds to a different gene.