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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Bibliografiske detaljer
Udgivet i:BMC Bioinformatics
Main Authors: Liao, Serena G, Lin, Yan, Kang, Dongwan D, Chandra, Divay, Bon, Jessica, Kaminski, Naftali, Sciurba, Frank C, Tseng, George C
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2014
Fag:
Research Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4228077/
https://ncbi.nlm.nih.gov/pubmed/25371041
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-014-0346-6
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