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The Functional Analysis identified 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.
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Canonical pathways analysis identified the pathways, which were most significant to the input data set.
The Functional Analysis identified the biological functions that were most significant to the combined data set.
Functional category analysis identified the functions in the IPA library that were most significant to the input data set.
Each network or pathway was set to have a maximum of 35 focus genes and IPA identified those pathways that were most significant to the input data set.
Canonical pathway analysis identified the pathways in the IPA library of canonical pathways that were most significant to the input data set.
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