I have a considerable amount of multi variate data which includes clinical parameters (Age, gender, obesity) as well as non clinical data (Cytokine expression data, Seroconversion data etc) for two groups (Severe and non severe) who were infected with a specific Virus.
I wanted to associate certain factors with disease severity (For example, over expression of a certain cytokine in obese individuals who succumbed to severe disease). I am familiar with R programming and made heatmaps for the cytokine data. But I wanted to know if its possible to make something such as a circos plot which would enable me to make correlations?
Thank you for you time!
First you'll need to do exploratory data analysis in order to filter what predictors to keep/exclude. Then you can try stepwise regression
http://www.statmethods.net/stats/regression.html
Your search keywords should include "variable selection"
Like Faye said: First you should apply your model, to identify what are predictors including the dependend and independent variables. For those you can premilary check this structural equation models, to find some association.
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