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Method Designed to Respect Molecular Heterogeneity Can Profoundly Correct Present Data Interpretations for Genome-Wide Expression Analysis
Although genome-wide expression analysis has become a routine tool for gaining insight into molecular mechanisms, extraction of information remains a major challenge. It has been unclear why standard statistical methods, such as the t-test and ANOVA, often lead to low levels of reproducibility, how...
Autores principales: | Chen, Chih-Hao, Hsu, Chueh-Lin, Huang, Shih-Hao, Chen, Shih-Yuan, Hung, Yi-Lin, Chen, Hsiao-Rong, Wu, Yu-Chung, Su, Li-Jen, Lee, H.C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4368820/ https://www.ncbi.nlm.nih.gov/pubmed/25793610 http://dx.doi.org/10.1371/journal.pone.0121154 |
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