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2.0.
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Now
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we're
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ready
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to
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load
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additional
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subject
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annotation
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data
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into
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the
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'Demo
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Study
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for
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ICR
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Folks'.
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As
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mentioned
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before,
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you'll
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need
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the
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data
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in
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the
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form
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of
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a
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CSV
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file
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containing
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at
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least
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one
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field
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with
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a
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unique
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ID
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for
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each
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subject
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in
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the
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study.
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The
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CSV
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file
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we'll
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use
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in
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this
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tutorial
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is
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called
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'subject_annotations_tutorial.CSV'.
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A
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partial
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screenshot
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of
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the
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file
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appears
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below
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as
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viewed
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in
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a
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Microsoft
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Excel
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2007
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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',
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which
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uniquely
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identifies
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each
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of
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the
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100
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subjects
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in
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this
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study
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(note
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that
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the
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screenshot
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above
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only
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displays
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data
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for
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the
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first
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11
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subjects).
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Once
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we've
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loaded
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the
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data
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into
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the
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study,
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we'll
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be
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able
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to
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query
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it
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by
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any
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of
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the
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fields.
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