An integrative U method for joint analysis of multi-level omic data

BACKGROUND: The advance of high-throughput technologies has made it cost-effective to collect diverse types of omic data in large-scale clinical and biological studies. While the collection of the vast amounts of multi-level omic data from these studies provides a great opportunity for genetic resea...

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Detalles Bibliográficos
Autores principales: Geng, Pei, Tong, Xiaoran, Lu, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6457037/
https://www.ncbi.nlm.nih.gov/pubmed/30967125
http://dx.doi.org/10.1186/s12863-019-0742-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6457037/
https://www.ncbi.nlm.nih.gov/pubmed/30967125
http://dx.doi.org/10.1186/s12863-019-0742-z

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