geamm v.1.4: a versatile program for mixed model analysis of gene expression data
Author:
Publisher
Wiley
Subject
Genetics,Animal Science and Zoology,General Medicine
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1365-2052.2007.01670.x/fullpdf
Reference7 articles.
1. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
2. Microarray Analysis and Tumor Classification
3. Covariate adjustment in the analysis of microarray data from clinical studies
4. Assessing Gene Significance from cDNA Microarray Expression Data via Mixed Models
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