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In contrast, the seven selected models based on age 18 data were not significant to data collected at age 10.
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The functional analysis identifies the biological functions and/or diseases that were most significant to the data set.
The Functional Analysis identified the biological functions that were most significant to the data set.
The IPA tool was used to identify the biological functions that were most significant to the data set.
Canonical pathways analysis identified the pathways from IPA library of canonical pathways that were most significant to the data set.
The Functional Analysis identified the biological functions and/or diseases that were most significant to the data set.
The Functional Analysis identified the biological functions and/or diseases that were algorithmically significant to the data set.
The functional analysis identified the biological functions and/or diseases that were most significant to the data sets.
Canonical pathways analysis identified the pathways from the Ingenuity library of pathways that were most significant to the data set.
The functional annotation identifies the biological functions that are most significant to the data set.
The functional analysis identified functions that were most significant to the data set.
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