An integrative imputation method based on multi-omics datasets

BACKGROUND: Integrative analysis of multi-omics data is becoming increasingly important to unravel functional mechanisms of complex diseases. However, the currently available multi-omics datasets inevitably suffer from missing values due to technical limitations and various constrains in experiments...

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Detalles Bibliográficos
Autores principales: Lin, Dongdong, Zhang, Jigang, Li, Jingyao, Xu, Chao, Deng, Hong-Wen, Wang, Yu-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915152/
https://www.ncbi.nlm.nih.gov/pubmed/27329642
http://dx.doi.org/10.1186/s12859-016-1122-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915152/
https://www.ncbi.nlm.nih.gov/pubmed/27329642
http://dx.doi.org/10.1186/s12859-016-1122-6

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