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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Bibliografiska uppgifter
I publikationen:BMC Bioinformatics
Huvudupphovsmän: Voillet, Valentin, Besse, Philippe, Liaubet, Laurence, San Cristobal, Magali, González, Ignacio
Materialtyp: Artigo
Språk:Inglês
Publicerad: BioMed Central 2016
Ämnen:
Methodology Article
Länkar: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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