Proteomics data with NA values
1
0
Entering edit mode
nkvnambiar • 0
@nkvnambiar-23563
Last seen 17 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 • 1.1k views
ADD COMMENT
0
Entering edit mode

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.

ADD REPLY
0
Entering edit mode
@laurent-gatto-5645
Last seen 27 days 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
ADD COMMENT

Login before adding your answer.

Traffic: 577 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6