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...

Descripción completa

Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
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

Internet

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

Ejemplares similares