Missing value imputation in high-dimensional phenomic data: imputable or not, and how? | BMC Bioinformatics;15: 346, 2014 Nov 05. | MEDLINE

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

Liao, Serena G; Lin, Yan; Kang, Dongwan D; Chandra, Divay; Bon, Jessica; Kaminski, Naftali; Sciurba, Frank C; Tseng, George C.

BMC Bioinformatics ; 15: 346, 2014 Nov 05.

Article in En | MEDLINE | ID: mdl-25371041

Subject(s)

Epidemiologic Methods; Software; Algorithms; Cluster Analysis; Computational Biology; Computer Simulation; Datasets as Topic; Humans; Research Design

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Epidemiologic Methods Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2014 Type: Article

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Epidemiologic Methods Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2014 Type: Article