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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Detaylı Bibliyografya
Yayımlandı:BMC Bioinformatics
Asıl Yazarlar: Liao, Serena G, Lin, Yan, Kang, Dongwan D, Chandra, Divay, Bon, Jessica, Kaminski, Naftali, Sciurba, Frank C, Tseng, George C
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BioMed Central 2014
Konular:
Research Article
Online Erişim: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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