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...

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Detalles Bibliográficos
Autores principales: Seng, Kok-Yong, Glenny, Robb W., Madtes, David K., Spilker, Mary E., Vicini, Paolo, Gharib, Sina A.
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2008
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2613008/
https://www.ncbi.nlm.nih.gov/pubmed/19119428

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2613008/
https://www.ncbi.nlm.nih.gov/pubmed/19119428

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