Comparison of Statistical Data Models for Identifying Differentially Expressed Genes Using a Generalized Likelihood Ratio Test
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چکیده
منابع مشابه
Comparison of Statistical Data Models for Identifying Differentially Expressed Genes Using a Generalized Likelihood Ratio Test
Currently, statistical techniques for analysis of microarray-generated data sets have deficiencies due to limited understanding of errors inherent in the data. A generalized likelihood ratio (GLR) test based on an error model has been recently proposed to identify differentially expressed genes from microarray experiments. However, the use of different error structures under the GLR test has no...
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ژورنال
عنوان ژورنال: Gene Regulation and Systems Biology
سال: 2008
ISSN: 1177-6250,1177-6250
DOI: 10.4137/grsb.s381