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How to best use the protein expression data #53

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seunghun23 opened this issue Nov 1, 2023 · 0 comments
Open

How to best use the protein expression data #53

seunghun23 opened this issue Nov 1, 2023 · 0 comments

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@seunghun23
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Hi,

I have read the detailed methods on proteomics data processing in the CPTAC papers. However, I am finding it challenging to understand the optimal utilization of the protein expression data provided by the CPTAC package.

While I comprehend that the expression values are relative and centered around zero, I am uncertain about how to use these values for comparative analyses. Here are a few comparisons I am interested in making:

1.Comparing protein expression for a specific gene between a tumor and its matching normal tissue within a particular tumor type.
2.Comparing protein expression for a specific gene across different tumor types.
3.Comparing protein expression for a specific gene across different normal tissues.
4.Comparing protein expression of multiple genes within a single tumor type.

My confusion arises from my uncertainty about whether the normalization was conducted over all cancer types/tissues included in CPTAC or if it was done per disease type. Additionally, I am unclear whether the normalization is per gene or across all genes within a disease type. I would greatly appreciate any clarification or guidance on these points.

Thanks

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