Robust principal component analysis for accurate outlier sample detection in RNA-Seq data

BACKGROUND: High throughput RNA sequencing is a powerful approach to study gene expression. Due to the complex multiple-steps protocols in data acquisition, extreme deviation of a sample from samples of the same treatment group may occur due to technical variation or true biological differences. The...

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Detalles Bibliográficos
Autores principales: Chen, Xiaoying, Zhang, Bo, Wang, Ting, Bonni, Azad, Zhao, Guoyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324992/
https://www.ncbi.nlm.nih.gov/pubmed/32600248
http://dx.doi.org/10.1186/s12859-020-03608-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324992/
https://www.ncbi.nlm.nih.gov/pubmed/32600248
http://dx.doi.org/10.1186/s12859-020-03608-0

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