Gene length corrected trimmed mean of M-values (GeTMM) processing of RNA-seq data performs similarly in intersample analyses while improving intrasample comparisons

BACKGROUND: Current normalization methods for RNA-sequencing data allow either for intersample comparison to identify differentially expressed (DE) genes or for intrasample comparison for the discovery and validation of gene signatures. Most studies on optimization of normalization methods typically...

Descripción completa

Detalles Bibliográficos
Autores principales: Smid, Marcel, Coebergh van den Braak, Robert R. J., van de Werken, Harmen J. G., van Riet, Job, van Galen, Anne, de Weerd, Vanja, van der Vlugt-Daane, Michelle, Bril, Sandra I., Lalmahomed, Zarina S., Kloosterman, Wigard P., Wilting, Saskia M., Foekens, John A., IJzermans, Jan N. M., Martens, John W. M., Sieuwerts, Anieta M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013957/
https://www.ncbi.nlm.nih.gov/pubmed/29929481
http://dx.doi.org/10.1186/s12859-018-2246-7

Ejemplares similares

Ejemplares similares