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Using multiple regression analysis for genetic data

Dear All,

I have a dataset contains one dependent (response) variable which is the expression of some genes and the many predictor (independent) variables represent counts (i.e 0 or 1). and I need to study the effect of these independent variables on gene expression. Is it right to use the multiple regression to do that since there is no assumption on the independents variables except multicollinearity. if so what is the best thing to check the model assumption in R.

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updated by Ram Ram • written by M K M K

2 answers

Limma has implemented a spline approach to study differential expression that maybe can be useful for you
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written by Antonio R. Franco Antonio R. Franco

Dear Antonio, Could you please send me the link for that.

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written by M K M K

Great work! I have been reading your post since long and very much impressed, http://www.digitemb.com/emb-library.php">Emblibrary</a></b>

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written by talonxander4 • talonxander4

Dear talonxander, this link doesn't work.Could you please send it agin.

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written by M K M K

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