Proteomics data with NA values
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nkvnambiar • 0
@nkvnambiar-23563
Last seen 18 months ago
Czechia

Hello,

I am very new to proteomics data analysis. I have a proteomics data set which looks like the below example:

Proteins a b c d Protein 1 57038.57 75498.98 223940.89 47389.90 Protein 2 92730.64 NA 83930.36 434893.34 Protein 3 NA 84930.45 783.37 8903.23 Protein 4 83929.36 NA NA 74830.03

I am not sure how to proceed with the normalization process because of the "NA" values. I tried to get some information regarding this and in some cites it is mentioned to change NA to "0" or to assign values like 0.0001 to NA. Could someone please guide me which is best method to do the normalization and which R package would you prefer for the same?

Many thanks in advance

Proteomics ProteoMM ProteomicsWorkflow • 1.2k views
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Although I am also fairly inexperienced in proteomics I would advise looking into the msImpute package1. I have not yet tried using it, but I found it quite interesting in this video2. I hope it helps.

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@laurent-gatto-5645
Last seen 7 weeks ago
Belgium
  • First, you need to assess how many missing values you have.
  • I would recommend not to impute your data by 0 (or any arbitrary small value) and use it as it is. You should be able to do everything you need.
  • This (and references therein) might be useful to get you started: https://rformassspectrometry.github.io/docs/sec-quant.html
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