Batch effect detection and correction in RNA-seq data using machine-learning-based automated assessment of quality

BACKGROUND: The constant evolving and development of next-generation sequencing techniques lead to high throughput data composed of datasets that include a large number of biological samples. Although a large number of samples are usually experimentally processed by batches, scientific publications...

Descripción completa

Detalles Bibliográficos
Autores principales: Sprang, Maximilian, Andrade-Navarro, Miguel A., Fontaine, Jean-Fred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284682/
https://www.ncbi.nlm.nih.gov/pubmed/35836114
http://dx.doi.org/10.1186/s12859-022-04775-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284682/
https://www.ncbi.nlm.nih.gov/pubmed/35836114
http://dx.doi.org/10.1186/s12859-022-04775-y

Ejemplares similares