Novel Data Transformations for RNA-seq Differential Expression Analysis

We propose eight data transformations (r, r2, rv, rv2, l, l2, lv, and lv2) for RNA-seq data analysis aiming to make the transformed sample mean to be representative of the distribution center since it is not always possible to transform count data to satisfy the normality assumption. Simulation stud...

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Detalles Bibliográficos
Autores principales: Zhang, Zeyu, Yu, Danyang, Seo, Minseok, Hersh, Craig P., Weiss, Scott T., Qiu, Weiliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423143/
https://www.ncbi.nlm.nih.gov/pubmed/30886278
http://dx.doi.org/10.1038/s41598-019-41315-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423143/
https://www.ncbi.nlm.nih.gov/pubmed/30886278
http://dx.doi.org/10.1038/s41598-019-41315-w

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