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BAYESIAN LATENT HIERARCHICAL MODEL FOR TRANSCRIPTOMIC META-ANALYSIS TO DETECT BIOMARKERS WITH CLUSTERED META-PATTERNS OF DIFFERENTIAL EXPRESSION SIGNALS

Due to the rapid development of high-throughput experimental techniques and fast-dropping prices, many transcriptomic datasets have been generated and accumulated in the public domain. Meta-analysis combining multiple transcriptomic studies can increase the statistical power to detect disease-relate...

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Detalhes bibliográficos
Publicado no:Ann Appl Stat
Main Authors: Huo, Zhiguang, Song, Chi, Tseng, George
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6472949/
https://ncbi.nlm.nih.gov/pubmed/31007807
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/18-AOAS1188
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