Cargando…
Prediction of survival and recurrence in patients with pancreatic cancer by integrating multi-omics data
Predicting the prognosis of pancreatic cancer is important because of the very low survival rates of patients with this particular cancer. Although several studies have used microRNA and gene expression profiles and clinical data, as well as images of tissues and cells, to predict cancer survival an...
Autores principales: | Baek, Bin, Lee, Hyunju |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609582/ https://www.ncbi.nlm.nih.gov/pubmed/33144687 http://dx.doi.org/10.1038/s41598-020-76025-1 |
Ejemplares similares
-
Integrative analysis of multi-omics data for identifying multi-markers for diagnosing pancreatic cancer
por: Kwon, Min-Seok, et al.
Publicado: (2015) -
Erratum to: Integrative analysis of multi-omics data for identifying multi-markers for diagnosing pancreatic cancer
por: Kwon, Min-Seok, et al.
Publicado: (2017) -
Integrated Multi-Omics Signature Predicts Survival in Head and Neck Cancer
por: Ribeiro, Ilda Patrícia, et al.
Publicado: (2022) -
Multi-omics data integration and modeling unravels new mechanisms for pancreatic cancer and improves prognostic prediction
por: Fraunhoffer, Nicolas A., et al.
Publicado: (2022) -
The benefits of smoking cessation on survival in cancer patients by integrative analysis of multi‐omics data
por: Yang, Sheng, et al.
Publicado: (2020)