Impact of RNA-seq data analysis algorithms on gene expression estimation and downstream prediction

To use next-generation sequencing technology such as RNA-seq for medical and health applications, choosing proper analysis methods for biomarker identification remains a critical challenge for most users. The US Food and Drug Administration (FDA) has led the Sequencing Quality Control (SEQC) project...

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Detalles Bibliográficos
Autores principales: Tong, Li, Wu, Po-Yen, Phan, John H., Hassazadeh, Hamid R., Tong, Weida, Wang, May D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578822/
https://www.ncbi.nlm.nih.gov/pubmed/33087762
http://dx.doi.org/10.1038/s41598-020-74567-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578822/
https://www.ncbi.nlm.nih.gov/pubmed/33087762
http://dx.doi.org/10.1038/s41598-020-74567-y

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