Statistical Assessment of Depth Normalization for Small RNA Sequencing

PURPOSE: Methods for depth normalization have been assessed primarily with simulated data or cell-line–mixture data. There is a pressing need for benchmark data enabling a more realistic and objective assessment, especially in the context of small RNA sequencing. METHODS: We collected a unique pair...

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Detalles Bibliográficos
Autores principales: Qin, Li-Xuan, Zou, Jian, Shi, Jiejun, Lee, Ann, Mihailovic, Aleksandra, Farazi, Thalia A., Tuschl, Thomas, Singer, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Clinical Oncology 2020
Materias:
ORIGINAL REPORTS
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330947/
https://www.ncbi.nlm.nih.gov/pubmed/32598180
http://dx.doi.org/10.1200/CCI.19.00118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330947/
https://www.ncbi.nlm.nih.gov/pubmed/32598180
http://dx.doi.org/10.1200/CCI.19.00118

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