Towards unified quality verification of synthetic count data with countsimQC

SUMMARY: Statistical tools for biological data analysis are often evaluated using synthetic data, designed to mimic the features of a specific type of experimental data. The generalizability of such evaluations depends on how well the synthetic data reproduce the main characteristics of the experime...

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Detalles Bibliográficos
Autores principales: Soneson, Charlotte, Robinson, Mark D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860609/
https://www.ncbi.nlm.nih.gov/pubmed/29028961
http://dx.doi.org/10.1093/bioinformatics/btx631

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860609/
https://www.ncbi.nlm.nih.gov/pubmed/29028961
http://dx.doi.org/10.1093/bioinformatics/btx631

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