Cargando…
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...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048483/ https://www.ncbi.nlm.nih.gov/pubmed/27716030 http://dx.doi.org/10.1186/s12859-016-1273-5 |