Cargando…
TiMEG: an integrative statistical method for partially missing multi-omics data
Multi-omics data integration is widely used to understand the genetic architecture of disease. In multi-omics association analysis, data collected on multiple omics for the same set of individuals are immensely important for biomarker identification. But when the sample size of such data is limited,...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674330/ https://www.ncbi.nlm.nih.gov/pubmed/34911979 http://dx.doi.org/10.1038/s41598-021-03034-z |