Handling missing rows in multi-omics data integration: multiple imputation in multiple factor analysis framework

BACKGROUND: In omics data integration studies, it is common, for a variety of reasons, for some individuals to not be present in all data tables. Missing row values are challenging to deal with because most statistical methods cannot be directly applied to incomplete datasets. To overcome this issue...

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Udgivet i:BMC Bioinformatics
Main Authors: Voillet, Valentin, Besse, Philippe, Liaubet, Laurence, San Cristobal, Magali, González, Ignacio
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2016
Fag:
Methodology Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5048483/
https://ncbi.nlm.nih.gov/pubmed/27716030
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1273-5
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