Hello group,

We are working on microarray data analysis of 35 experiments with limma. We
have used normexp technique as background correction, loess as within array
nomalization and quantile as between array normalization. After doing
quantile normalization I found large number of outliers (small circles)
with box plot analysis.I would like to know whether the outliers are
relevent in data analysis should they be removed or can be ignored? Also if
they are to be removed can any one please let me know how to minimize these
outliers?

Thankfully

 A.Ashwin
 Department Of Biotechnology
 Manipal Life Science Center
 Karnataka
 INDIA

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