Cargando…
Data Requirements for Model-Based Cancer Prognosis Prediction
Cancer prognosis prediction is typically carried out without integrating scientific knowledge available on genomic pathways, the effect of drugs on cell dynamics, or modeling mutations in the population. Recent work addresses some of these problems by formulating an uncertainty class of Boolean regu...
Autores principales: | Dalton, Lori A., Yousefi, Mohammadmahdi R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4844301/ https://www.ncbi.nlm.nih.gov/pubmed/27127404 http://dx.doi.org/10.4137/CIN.S30801 |
Ejemplares similares
-
Optimal cancer prognosis under network uncertainty
por: Yousefi, Mohammadmahdi R, et al.
Publicado: (2015) -
On optimal Bayesian classification and risk estimation under multiple classes
por: Dalton, Lori A., et al.
Publicado: (2015) -
A comparison study of optimal and suboptimal intervention policies for gene regulatory networks in the presence of uncertainty
por: Yousefi, Mohammadmahdi R, et al.
Publicado: (2014) -
Modeling the next generation sequencing sample processing pipeline for the purposes of classification
por: Ghaffari, Noushin, et al.
Publicado: (2013) -
Data mining and mathematical models in cancer prognosis and prediction
por: Yu, Chong, et al.
Publicado: (2022)