Missing value imputation in high-dimensional phenomic data: imputable or not, and how?

BACKGROUND: In modern biomedical research of complex diseases, a large number of demographic and clinical variables, herein called phenomic data, are often collected and missing values (MVs) are inevitable in the data collection process. Since many downstream statistical and bioinformatics methods r...

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Detalles Bibliográficos
Autores principales: Liao, Serena G, Lin, Yan, Kang, Dongwan D, Chandra, Divay, Bon, Jessica, Kaminski, Naftali, Sciurba, Frank C, Tseng, George C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4228077/
https://www.ncbi.nlm.nih.gov/pubmed/25371041
http://dx.doi.org/10.1186/s12859-014-0346-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4228077/
https://www.ncbi.nlm.nih.gov/pubmed/25371041
http://dx.doi.org/10.1186/s12859-014-0346-6

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