Cargando…
Bayesian profiling of molecular signatures to predict event times
BACKGROUND: It is of particular interest to identify cancer-specific molecular signatures for early diagnosis, monitoring effects of treatment and predicting patient survival time. Molecular information about patients is usually generated from high throughput technologies such as microarray and mass...
Autores principales: | Zhang, Dabao, Zhang, Min |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1796541/ https://www.ncbi.nlm.nih.gov/pubmed/17239251 http://dx.doi.org/10.1186/1742-4682-4-3 |
Ejemplares similares
-
Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis
por: Ojavee, Sven E., et al.
Publicado: (2021) -
Bayesian credible subgroup identification for treatment effectiveness in time-to-event data
por: Ngo, Duy, et al.
Publicado: (2020) -
Protein Molecular Function Prediction by Bayesian Phylogenomics
por: Engelhardt, Barbara E, et al.
Publicado: (2005) -
Bayesian approach for analysis of time-to-event data in plant biology
por: Humplík, Jan F., et al.
Publicado: (2020) -
Bayesian regularization to predict neuropsychiatric adverse events in smoking cessation with pharmacotherapy
por: Truong, Van Thi Thanh, et al.
Publicado: (2023)