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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Vydáno v:BMC Bioinformatics
Hlavní autoři: Liao, Serena G, Lin, Yan, Kang, Dongwan D, Chandra, Divay, Bon, Jessica, Kaminski, Naftali, Sciurba, Frank C, Tseng, George C
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2014
Témata:
Research Article
On-line přístup: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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