 |
Page History
| Scrollbar | ||
|---|---|---|
|
...
| Page info |
|---|
...
|
2.0.
...
Now
...
we're
...
ready
...
to
...
load
...
additional
...
subject
...
annotation
...
data
...
into
...
the
...
'Demo
...
Study
...
for
...
ICR
...
Folks'.
...
As
...
mentioned
...
before,
...
you'll
...
need
...
the
...
data
...
in
...
the
...
form
...
of
...
a
...
CSV
...
file
...
containing
...
at
...
least
...
one
...
field
...
with
...
a
...
unique
...
ID
...
for
...
each
...
subject
...
in
...
the
...
study.
...
The
...
CSV
...
file
...
we'll
...
use
...
in
...
this
...
tutorial
...
is
...
called
...
'subject_annotations_tutorial.CSV'.
...
A
...
partial
...
screenshot
...
of
...
the
...
file
...
appears
...
below
...
as
...
viewed
...
in
...
a
...
Microsoft
...
Excel
...
2007
...
window.
This data came from a fictional multi-site study that compared gene expression between lung adenocarcinoma patients and healthy controls. The nature of the data itself is irrelevant to our purpose here. The relevant aspect is that the data is categorized into five fields, which are represented by columns in the spreadsheet.
Each field defines a different subject characteristic such as 'PATIENT_ID',
...
which
...
uniquely
...
identifies
...
each
...
of
...
the
...
100
...
subjects
...
in
...
this
...
study
...
(note
...
that
...
the
...
screenshot
...
above
...
only
...
displays
...
data
...
for
...
the
...
first
...
11
...
subjects).
...
Once
...
we've
...
loaded
...
the
...
data
...
into
...
the
...
study,
...
we'll
...
be
...
able
...
to
...
query
...
it
...
by
...
any
...
of
...
the
...
fields.
...
| Scrollbar |
|---|
...
|
...
|
...
