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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...
Autores principales: | Liao, Serena G, Lin, Yan, Kang, Dongwan D, Chandra, Divay, Bon, Jessica, Kaminski, Naftali, Sciurba, Frank C, Tseng, George C |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
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 |
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