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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,...

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Detalles Bibliográficos
Autores principales:	Das, Sarmistha, Mukhopadhyay, Indranil
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
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

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