Question: Using multiple regression analysis for genetic data
0
gravatar for M K
2.5 years ago by
M K350
United States
M K350 wrote:

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.

R • 1.2k views
ADD COMMENTlink modified 2.5 years ago by talonxander40 • written 2.5 years ago by M K350
0
gravatar for Antonio R. Franco
2.5 years ago by
Spain. Universidad de Córdoba
Antonio R. Franco3.6k wrote:
Limma has implemented a spline approach to study differential expression that maybe can be useful for you
ADD COMMENTlink written 2.5 years ago by Antonio R. Franco3.6k

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

ADD REPLYlink written 2.5 years ago by M K350

Chapter 9.6 of the limma user's guide

ADD REPLYlink written 2.5 years ago by Antonio R. Franco3.6k
0
gravatar for talonxander4
2.5 years ago by
Pakistan
talonxander40 wrote:

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

ADD COMMENTlink written 2.5 years ago by talonxander40

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

ADD REPLYlink written 2.5 years ago by M K350
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