Cargando…
Integration of gene expression and DNA methylation data across different experiments
Integrative analysis of multi-omic datasets has proven to be extremely valuable in cancer research and precision medicine. However, obtaining multimodal data from the same samples is often difficult. Integrating multiple datasets of different omics remains a challenge, with only a few available algo...
Autores principales: | Itai, Yonatan, Rappoport, Nimrod, Shamir, Ron |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450176/ https://www.ncbi.nlm.nih.gov/pubmed/37395437 http://dx.doi.org/10.1093/nar/gkad566 |
Ejemplares similares
-
NEMO: cancer subtyping by integration of partial multi-omic data
por: Rappoport, Nimrod, et al.
Publicado: (2019) -
Inaccuracy of the log‐rank approximation in cancer data analysis
por: Rappoport, Nimrod, et al.
Publicado: (2019) -
Integrated analysis of numerous heterogeneous gene expression profiles for detecting robust disease-specific biomarkers and proposing drug targets
por: Amar, David, et al.
Publicado: (2015) -
Multi-omic and multi-view clustering algorithms: review and cancer benchmark
por: Rappoport, Nimrod, et al.
Publicado: (2019) -
Multi-omic and multi-view clustering algorithms: review and cancer benchmark
por: Rappoport, Nimrod, et al.
Publicado: (2018)